Plaintiff & Claims AI

AI Demand Pro is personal injury settlement demand software from AI Demand Pro, Inc. of Costa Mesa, California, built by personal injury attorneys for personal injury firms. A firm uploads police reports, medical records and bills, and the software drafts a formatted, narrative settlement demand with a medical summary and hyperlinked exhibits in about 15 to 20 minutes, delivered as a Word document on the firm's letterhead for attorney review. Demand Studio lets attorneys edit the demand directly or have AI rewrite any section, an AI assistant answers questions from the case file, and medical summaries and hyperlinked chronologies during the case are included. Life care plans, discovery and deposition tools are announced as coming soon. It is sold by subscription under a master services agreement with a business associate agreement; prices are not published.

Anytime AI is an agentic AI platform sold only to plaintiff law firms, covering a case from intake through settlement. Its focus is the medical record: it turns thousands of pages into structured chronologies and case overviews of injuries, treatments, findings and care, flags treatment gaps and deviations from the standard of care, and carries the result into demand letters built around itemized damages. It also reviews discovery, drafts discovery responses, summarizes depositions and filings, drafts motions, briefs and memos, and does legal research. A chat assistant, Talk to Teddy, answers questions from the documents in a matter, cites a source for every answer and says so when the record has no answer. Practice pages cover personal injury, nursing home litigation, medical malpractice, trucking accidents and traumatic brain injury. The platform is described as a closed private cloud with AES 256 encryption at rest, TLS 1.2 or later in transit, role based access, audit logging and a policy that customer data is never used to train models. It connects to SmartAdvocate, Litify, SharePoint, Dropbox, OneDrive, Google Drive and Box. Anytime AI is based in White Plains, New York.

CasePeer is cloud case management software built only for plaintiff personal injury and mass tort law firms. The core is the injury case file: medical treatment and provider tracking, injury records, liens and letters of protection, a settlement calculator with distribution and expense tracking, client trust tracking, statute of limitations alerts, timelines, and document management with unlimited storage and electronic signature. Intake and CRM tools cover leads, case sources, intake forms and a portal, with case grading on higher tiers. Clients get two way texting and a portal. Reporting is a focus, with more than fifty reports plus productivity, medical request and multi office suites. The AI is 8am IQ, included on the Pro and Advanced tiers. Its Writing Assistant fixes grammar, simplifies and adjusts tone, and its Translation Assistant covers English, Spanish and Arabic. Payments run through sister brand LawPay. Integrations include medical records retrieval, client messaging, and AI demand letter partners such as EvenUp, Novo and Practice AI. Three per user tiers are priced publicly, with no long term contract or setup fee. CasePeer was founded in 2015, is based in Austin, Texas, and is run by 8am, LLC, formerly AffiniPay, which also owns MyCase, Docketwise and LawPay.

CloudLex is case management software built only for plaintiff personal injury firms in the United States, covering a case from intake to settlement. Its AI, Lexee, captures leads by voice and chat, drafts demand packages, turns medical records into treatment chronologies and answers questions about a matter's documents. Human review is a named step: an attorney or paralegal approves AI output before use, and the agreement requires it. CloudLex also sells paralegal services, such as medical record retrieval and a bilingual call center, delivered inside the same system. It is hosted on Microsoft Azure and sold only to subscribers based in the United States.

Codes Health retrieves and reviews medical records for plaintiff personal injury and mass tort firms. A firm submits a client's treatment history and Codes Health takes it from there. It validates the authorization, locates the care sites, submits to each provider in that facility's required format and follows up daily until the records arrive. Retrieval runs on an agentic system that combines automated work with human intervention, drawing on electronic claims networks, custodian integrations and its own provider network. It states coverage in all fifty states and an average turnaround of one to two weeks, with request status shown in real time. The platform produces medical chronologies, encounter and bill summaries, and extracted case insights covering diagnoses, breaches in care and future expenses. AI insights are stated to be verified by humans before delivery. A missing record detection feature flags gaps in the treatment history before a demand package is finalized. Firms work in a web application with single sign on, role based permissions and an audit trail. Codes Health publishes an exclusive partnership with Filevine that puts requesting, receiving and reviewing records inside Filevine. Pricing is a flat fee quoted on inquiry, with follow ups and AI chronologies included.

Covalynt, formerly ClaimScore, is a data science platform for class actions, mass torts and mass arbitrations operated by ClaimScore LLC. Its original product, ClaimScore, scores every settlement claim for fraud. Each claim starts at 1,000 points and loses points on more than 65 weighted criteria covering bots, synthetic identities, duplicates, account takeovers and solicitation schemes, with deduction codes explaining each loss and claims below 700 marked as rejected. It works in real time through an API connected to an administrator's claim form, or on bulk files after the claims period. The company rebranded as Covalynt in December 2025 and added ClassResolution, which reconciles defendant records into class member data ready for audit and certification, DeepValidation, which validates and enriches class contact data for notice, and bespoke data engineering. It serves settlement administrators, class counsel, defense counsel and courts, and lists work on matters including cases against Apple, Google, Meta, Oracle and Visa and the Ozempic and Depo-Provera mass torts. Covalynt says it owns its data and builds its own models, holds a SOC 2 Type II report, and does not publish pricing.

Darrow works upstream of litigation. It ingests signals from regulatory filings, incident reports, litigation patterns and market activity and turns them into structured legal intelligence about where exposure is forming. The company describes itself as an AI lab built around a knowledge base that connects the laws creating obligations, the organizational weaknesses that emerge when they are not met, and the enforcement actions that follow. Agentic systems reason across that intelligence to identify and prioritize emerging opportunities. It sells to three segments: plaintiff and class action firms looking to identify litigation earlier, insurers pricing litigation exposure, and corporate compliance teams monitoring their own external digital footprint. Published figures include more than 22 billion dollars in legal exposure surfaced, more than 5 million signals detected monthly and over 10,000 active matters. Roughly thirty customer firms are shown by name, including Baron and Budd, Milberg, Nichols Kaster and Loevy and Loevy. Access is through a portal on an annual subscription. The terms of use name Anthropic and OpenAI as the AI service providers and grant Darrow an irrevocable perpetual license over customer data that expressly includes training foundation models. Darrow AI Inc. is a Delaware corporation based in New York.

DigitalOwl analyzes medical records with AI for both legal and insurance professionals. Datavant acquired it in 2025, and it is still sold under its own name. Its proprietary AI, built in house for these uses, extracts medical data from conventional and electronic health records and turns it into structured chronologies, summaries, timelines and insights. The vendor says it can review a thousand page record in minutes, with typical turnaround inside 24 hours. The platform also surfaces provider and billing details, injury assessments and medical evidence for demand letters and settlements, and offers a chat interface over the records. Products include View for AI medical record summaries; Connect, an API for pulling structured output into other systems; and a Self-Serve portal where attorneys and paralegals upload records and receive chronologies, summaries and demand letter support. Legal coverage spans personal injury, medical malpractice and mass tort. Insurance coverage spans underwriting, claims review, workers compensation, bodily injury and review of settlement demand packages. The vendor claims third party testing at over 98 percent accuracy, states SOC 2 Type II, HIPAA and GDPR compliance, and offers a business associate agreement. Pricing is not published.

EsquireTek is a written discovery platform and service from EsquireTek, Inc. of San Diego, built for plaintiff trial lawyers, litigation firms and corporate legal teams. Its Alpha product is software a firm runs itself. AI scans an opposing party's discovery requests and turns them into a response document within 60 seconds, and objections are added from a library with a click. Questions go to clients by text or email, their answers populate the responses, and verifications and electronic service are built in. Omega is a managed service in which EsquireTek's team prepares discovery responses, objections, medical chronologies and exhibits for personal injury firms with AI support. It delivers them for attorney review and is priced per set of discovery. A Mass Torts offering combines a portal with trained specialists and AI assisted drafting for plaintiff fact sheets and short form complaints. EsquireTek integrates with MyCase. Its terms, effective 28 May 2025, state that the information provided is not legal advice and make attorney users responsible for reviewing documents and citations the service provides. They also grant EsquireTek a broad license over user content. Its privacy policy says data may be processed in the United States and India, and pricing figures are not published.

Eve is an AI platform for plaintiff law firms, covering the case from intake to resolution. It handles intake and case evaluation, medical overviews and chronologies, demand letters, complaints, discovery in both directions, and case value analysis. In January 2026 it relaunched as an AI Workforce of three coordinated agent roles, Agents, Auditor and Analyst, that move cases forward without waiting for prompts. In June 2026 it launched EveOS, an operating platform for plaintiff firms. Eve says its answers cite sources with links back to the firm's own documents, that it checks its own responses, and that users can verify in one click. It learns a firm's tone and style so drafts match the firm's voice. Personal injury is the main focus, with medical malpractice, employment and general litigation also served. Eve claims SOC 2 Type 2 and HIPAA compliance. It says it treats attorney client privilege as a first principle, never trains shared models on case data, and isolates data by firm, user and workflow. It reports more than 450 firms and more than 200,000 cases a year. Founded in San Francisco in 2020 by chief executive Jayanth M, Eve has raised $164m, including a $103m Series B led by Spark Capital on 30 September 2025. Pricing is not published.

EvenUp is a vertical AI platform built only for plaintiff personal injury firms, marketed as a Claims Intelligence Platform. Founded in 2019 and based in San Francisco, it turns the raw material of an injury case into the documents a personal injury firm produces repeatedly: demand letters, medical chronologies and case valuations. Inputs include police reports, medical records, billing statements, photographs and intake notes. Its AI engine, Piai, is described by the vendor as trained on a large dataset specific to personal injury. MedChrons summarizes medical records into chronological reports with treatment timelines and ICD code extraction. Other components cover case materials and drafts, case and negotiation preparation, a Settlement Repository of past settlements used for valuation, and caseload analytics. Demand packages cite comparable verdicts inside the document, and a Thomson Reuters and Westlaw integration supports legal citation. Demands come in tiers from instant AI generation to an expert reviewed tier checked by an in house team before delivery. A Trust Center offers documentation on request, alongside a SOC 2 Type 2 examination recertified in April 2026 and a HIPAA attestation. Pricing is per case and not published.

Filevine is case management software for law firms and legal teams, built around the life of a matter from intake to settlement. Its AI layer, LOIS, includes MedChron for medical chronologies, DemandsAI for demand letters, Depo CoPilot for live deposition help, and drafting inside Microsoft Word. Filevine says its customers draft about 100,000 demand letters a month with it. The buyer base is wide: personal injury and other plaintiff firms, defense and family practices, prosecutors and public defenders, government agencies and in house teams, from solo to big law. What sets it apart is the contract. Third party model providers are barred from training on or keeping customer data, and users must check citations before output reaches a client or a court.

InPractice reads medical records and turns them into chronologies and narrative summaries for legal and medical professionals. Records are uploaded to a case and processed at a stated three seconds a page. Chronologies are organized by date, with an outline view that jumps to the source document and a side by side view that puts each summary next to the original record. Users can edit entries, search records with OCR and export to Word, Excel or PDF. Duplicates are automatically, and a cost statement for each case reports pages used and spend. Case Chat answers questions against the record set. The company sells to personal injury, workers' compensation, medical malpractice and mass tort practices, to medical examiners and to insurers, in the United States only. Pricing is charged by the page with no subscription or user fee, from 100 dollars for a thousand pages, and credits do not expire. A free trial covers 500 pages over seven days. InPractice states that it does not use customer information to train AI models and describes itself as HIPAA compliant. InPractice, Inc. is based in Goleta, California.

Law Practice AI is AI software for plaintiff law firms, founded in 2019 and based in Woodland Hills, California. Its core products are Demand AI, which drafts personal injury and lemon law demand letters from a firm's own case documents with unlimited revisions, and Document Collector, which requests, chases and organizes medical records, police reports, repair orders and other files from clients and third parties by email, text and a client portal. The wider platform adds Case Summary AI for long records, litigation support, and an AI intake agent that answers calls, qualifies leads and schedules callbacks. It connects to CASEpeer, MyCase and SmartAdvocate, and syncs documents to Google Drive, OneDrive and Dropbox. The company says it is SOC 2 Type II, ISO 27001 and HITRUST certified and signs a business associate agreement with every firm, and it names Microsoft Azure AI as a provider of its AI services. The published plan costs $97 a month with one demand letter included and additional demands at $97 each, month to month, with custom pricing for high volume firms. The platform is also offered white labeled to Legal Soft's clients.

LawPro.ai reads the medical file on a personal injury case and turns it into the documents a firm builds a claim from. A firm uploads a client's records, and the platform sorts and indexes them and returns a categorized medical chronology, a case summary, an itemization of medical costs and drafted documents; the vendor says organizing an uploaded file takes under a minute. Named modules include TimeLineD for a searchable visual chronology, FileLens for seeing inside each file without opening it, Snapshot for injuries, treatments, medications and referrals at a glance, and SpecialsAI for identifying every medical cost. LegalDocs turns records into demand letters, mediation and arbitration statements and deposition preparation material, and Case Assistant answers plain English questions from the records with citations to the source. The vendor markets a proprietary framework called Hallucination Prevention Technology, described as patent pending and as checking that outputs are grounded in the documents before a user sees them. It is sold to personal injury firms and separately to healthcare networks and revenue cycle operations, through a browser, with a free trial.

Legalyze is an AI medical record review and chronology platform for plaintiff personal injury, medical malpractice and workers compensation practices. It is positioned as pure software, and the vendor says having no human in the loop is what keeps its costs low. Chronologies are generated from uploaded records at a stated ten pages per minute, broken down by visit type; the vendor says a thousand page file drops from fifteen to twenty hours of manual review to about two. Each medical event links in one click to the exact page in the original record. Case Chat answers plain English questions about the records, with each answer cited to its location in the source. The platform flags missing records, treatment gaps, prior injuries and inconsistencies. It accepts Word documents, PDFs, images and spreadsheets, including handwritten, scanned and electronic health records. It integrates with Smokeball and CASEpeer, and a free trial is available. The vendor says it never uses customer data to train its models, has business associate agreements with its AI providers, encrypts all data and stores it on servers it controls. Independent material reports pricing by page volume, starting around $500 a month for 2,000 pages.

Litify is a legal operating platform built on Salesforce that runs a firm's work end to end. It covers client intake with dynamic questionnaires and voice agents, matter management, document generation and PDF editing, timekeeping and billing, legal spend management with budgets and invoice review, and reporting without code. Four solution lines cover personal injury, insurance defense, immigration and corporate legal departments. Named customers include Brooklyn Defenders, Quintairos Prieto Wood & Boyer, AmTrust, Cole Scott & Kissane and the United States Postal Service. Litify AI centers on the Agentic Case Expert, or ACE, which works across a firm's cases and documents, alongside eight named agents running from intake qualification to deposition preparation. Some AI features come from partners: Supio powers the Damages Assistant and Instant Demands, Billables.ai powers AI Time Capture, and Salesforce Agentforce handles conflict checking and invoice review. The vendor says its AI runs in a closed, isolated environment on Anthropic models through Amazon Bedrock, and that customer data is never retained by or used to train the model. Litify is a Salesforce managed package that needs a Salesforce platform license on top of its own subscription, which the vendor lists from $200 per user per month.

Neos is cloud case management software built for plaintiff personal injury firms. It covers the work from the first intake call to settlement disbursement: intake and lead tracking, statute and deadline calculators, document assembly, medical records, treatment and lien tracking, demand drafting, and case value and settlement reporting. NeosAI, sold only in the top of three tiers, summarizes documents, extracts data from records into case fields, answers questions about the case file and generates documents. Demands Plus, in early access, builds a medical chronology with every entry linked to its source page, flags gaps in treatment, and drafts a demand letter with each claim cited to the record so an attorney can check it before approving. The vendor states the tool does not decide causation, damages, standard of care or case merit. Neos costs from $109 per user per month billed annually, with a three user minimum, and runs on Microsoft Azure with each firm's data isolated. It is made by Assembly Software of Coral Gables, Florida, which also supports its older Needles and TrialWorks systems and reports more than 1,450 personal injury firms on the platform.

Novo drafts the two documents that carry a personal injury claim through the stage before litigation: the medical chronology and the demand letter. A firm uploads a client's medical records, and Novo turns them into a structured timeline of each injury, treatment and medical event. It then drafts a demand letter from that chronology, written to set out liability and account for every element of damages. The vendor says both take minutes rather than hours or days, and publishes a figure of five and a half hours saved per case. The output is a draft that the firm edits. The terms place the duty to review, revise and proofread everything on the lawyer, and require advice from a licensed attorney before acting on it. Novo names CASEpeer, Smokeball, SmartAdvocate and MyCase as case management integration partners. It publishes a list of the providers behind the product, naming OpenAI and Anthropic as its AI services and Google and Tesseract for optical character recognition. Firms can start on a free plan, and the service is offered only in the United States.

Parambil is an AI platform for reading medical records at litigation scale. It takes in unstructured charts that commonly run to thousands of pages across several facilities and produces sortable medical chronologies, with every entry linked back to its source page. A Provider Guide removes duplicate clinicians and groups them by specialty, and the platform also runs billing analysis and flags gaps and documents referenced but missing from the file. On top of the chronology it runs agents: a Case Agent that investigates a case end to end, and a Drafting Agent that produces first drafts of complaints, demands, interrogatories and discovery requests from case data and a firm's own examples. A live web search pulls clinical guidelines and medical literature. The agent layer is built on a stated partnership with Anthropic, and the web search on one with Perplexity. Parambil is built for medical malpractice, birth injury, nursing home negligence, mass torts and product liability, motor vehicle accidents and maritime injury. It presents itself as a neutral vendor serving plaintiff and defense firms. It supports HIPAA compliance and signs business associate agreements on request. The company is Parambil Corp of New York, founded in 2023.

Pattern Data is an AI case evaluation platform built for mass tort litigation, sold to plaintiff law firms, defense firms, settlement administrators and special masters. It takes a firm's whole docket, from hundreds to millions of pages of medical and administrative records, and evaluates every claimant against the same criteria for the litigation. Screen confirms product use or exposure and qualifying injury and flags missing documentation. Develop reconciles full records against expanded criteria such as treatments and risk factors to model valuation. Settle calculates settlement points under the agreement's criteria and generates submission packets in the formats claims administrators require. The engine uses retrieval augmented generation over language models, with models tailored to litigations including Roundup, AFFF, Camp Lejeune, Depo-Provera, hair relaxer, GLP-1, Paraquat, talc and Zantac. Case reviewers validate findings, eligible claims can be decided automatically, and complex or outlier cases are flagged for human review. The company states more than thirty litigations and 1.4 million cases on the platform, and integrates with Litify. Pattern Data is based in Charlotte, North Carolina, and prices by case volume and service.

Precedent is a case automation platform for plaintiff personal injury law firms, from Precedent LLC of Charlotte, North Carolina, whose founders the company describes as insurance carrier insiders. It covers the work before litigation, from intake to demand. Claim Setup submits the claim to the carrier and returns verified policy limits, with a letter of representation generated automatically. Record Retrieval requests, takes in and tracks medical records, and an Exhibit Manager sorts, describes and renames incoming files and flags gaps in documentation. Demand Composer, the flagship, drafts the demand package from the case documents at a flat rate of $275 with unlimited pages and revisions. Other products build medical chronologies, generate demands for several plaintiffs, benchmark demands and flag the tactics an adjuster is likely to use. In what the company calls a Closed Loop Architecture, every medical fact, diagnosis and billing code in a demand is linked to its source page, and trained expert reviewers check each draft before the firm receives it. Precedent integrates with Clio, SmartAdvocate and Litify. It reports more than 100 law firms and over 50,000 demands sent.

ProPlaintiff is an agentic AI case management platform for plaintiff personal injury firms, which the vendor positions as an operating system for an AI native practice rather than a tool added to existing software. It covers intake through litigation and combines case management with generation: AI Demand Letters, AI Medical Chronology, document generation, summaries and review, media analysis, case analysis, firm wide analytics, automations, an AI calendar for deadlines, data migration, and Ask Tiff, a conversational assistant. Demand letters cite specific medical records, bills and reports automatically, and smart citations pull from the firm's uploaded files. A drag and drop template engine saves templates, preferred language and common arguments. Permission management, system activity logs and secure case sharing are included. Buyers named are plaintiff personal injury firms, solo attorneys and paralegals, with custom deployment for firms of hundreds of attorneys; API integration is described as planned. The vendor states HIPAA compliance, encryption, storage in the United States and access limited to authorized users at the firm. It also publishes a practitioner content library on demand drafting, record review and AI oversight. Pricing is not published.

SmartAdvocate is a case management platform for high volume contingency practices, offered as a hosted cloud service or as a server version a firm installs on its own infrastructure. It covers intake and lead capture, matter and document management, document generation, calendaring with statute of limitations and deadline tracking, custom workflows, client texting and electronic signature, a client portal, reporting and an open API, with more than 175 integration partners. The AI layer, SmartIntelligence, includes an Intake AI Voice Agent that speaks with prospective clients and logs leads, demand letter and medical chronology generation, document classification, extraction of court deadlines and insurance details into fields, natural language search of case records, settlement and negotiation assistants, reply drafting, autonomous agents for recurring tasks, and an MCP server for connecting external AI platforms. The terms of service name OpenAI technology and proprietary SmartAdvocate technology among the sources behind these tools.

Superinsight reads medical records and produces chronologies, summaries and case reports for lawyers and medical experts working claims that turn on medical evidence. It is built around practice areas, with separate treatment for Social Security Disability, personal injury and veteran disability among others, and it will configure the product for a practice area not on its list. Disability work is where it is most specific, generating residual functional capacity assessments and identifying the medical evidence a claim turns on. Reports are built from templates, and higher tiers add unlimited research queries. The company states that no human reviewers see the records and only its AI reads them. Its published HIPAA notice commits that protected health information is not shared with AI or large language model companies except as required by law or with explicit authorization. Pricing is published across six tiers, from 80 dollars for a single credit to 5,000 dollars a month for 200 credits, with a report averaging about two credits and the first case free. The company states HIPAA compliance and alignment with ISO 42001, and is based in Menlo Park, California.

Supio is an agentic AI platform built only for plaintiff personal injury and mass tort firms, covering the case from intake through litigation. It was founded in Seattle in 2021 by Jerry Zhou, chief executive, and Kyle Lam, chief technology officer. The platform ingests whole case files, including large volumes of medical records, and produces MedChron medical chronologies, demand letters, case economics ledgers, litigation drafts, deposition analysis and firm analytics. Its underlying technology, CaseAware AI, is said to distinguish facts from opinions across large volumes of records. Supio Agent, launched in the first half of 2026, takes natural language instructions such as adding a life impact report to a demand section or rechecking a medical bill total. Output cites the source page for each claim, and for high value cases human experts verify bill totals and damage calculations before delivery. Named integrations include Litify, MyCase and CasePeer, plus Westlaw Advantage through a Thomson Reuters partnership. The vendor states SOC 2 Type II certification, HIPAA, PHIPA and GDPR compliance, and data centers in the US, UK and Canada. It has raised about $85m to $91m. Pricing is not published.

Tavrn is an AI case preparation platform for personal injury litigation, founded in 2022 and built around medical record retrieval, on the premise that records are where cases stall. Client Intake extracts facts from each lead and scores cases on a numeric scale with configurable thresholds. Medical Record Retrieval uses agentic workflows and AI voice agents that contact providers the same day a request is placed and keep going until all requested files, including bills and imaging, arrive. It covers thousands of providers in all fifty states and delivers records into the case file already organized, named and tagged. MedChrons turns records into hyperlinked chronologies with page classification and Bates stamping, and demand letters are drafted from the same structured data using firm templates. Practice coverage spans personal injury, medical malpractice, workers compensation, SSDI and general liability. Integrations are named with Filevine, Litify and Clio, among others, and API access is offered. Tavrn claims a SOC 2 Type II attestation and offers a business associate agreement for HIPAA workflows. Funding totals about $38m, including a $15m Series A led by Left Lane Capital in July 2025. A free trial is offered and pricing is not published.

Wisedocs is an AI medical record review platform for claims work, sold to insurance carriers, third party administrators, independent medical evaluators and law firms. It takes unstructured claim files, medical records, legal forms and insurance documents, including faxes, scans and handwritten notes. It sorts, indexes and deduplicates them, separates mixed claimants, builds chronologies by date, provider and event, and generates medical summaries for causation and liability with every fact linked to its source page. Red flags surface delayed care, timeline gaps and contradictions, WiseChat answers questions about a file, and custom reports assemble verified data for adjusters, evaluators and attorneys. Trained reviewers validate every summary before the user is told it is ready, and the vendor says its models are trained on more than a hundred million documents. Wisedocs AI of Toronto was founded in 2021 and closed a 12.7 million Canadian dollar Series A in 2024 led by Information Venture Partners with Thomson Reuters Ventures. It states SOC 2 Type II compliance achieved in August 2024 and HIPAA compliance, and offers cloud, private cloud, on premises and hybrid deployment with regional model hosting. Pricing is by demo.