AI agents connected to your product’s data and workflows
Help users find relevant information and complete tasks inside your application. We build custom AI agents and LLM integrations with defined permissions, human review points, and evaluations based on the tasks they perform.
Help users find relevant information and complete tasks inside your application.
Build AI around the work your users need to get done
Useful AI needs access to relevant data, clear limits on its actions, and criteria for evaluating its output. We help you choose the use case and build those requirements into the implementation.
Useful AI needs relevant data, clear limits on its actions, and a way to evaluate its output. We build all three in.

Custom AI agents
Automate steps such as retrieving records, updating information, and preparing responses. Your application defines what the agent can do and which actions require a person’s approval.

MCP implementation
Connect AI tools to your systems through Model Context Protocol. Define the data and functions available to each integration, with explicit access permissions.

Healthcare workflows
Bring AI into patient portals, care coordination, and clinical documentation. Our work includes FHIR-backed interfaces and tools that compare clinical documents to support review before sign-off.

Document processing
Extract fields, classify content, and summarize documents for review. Feed the results into your existing workflows so your team can verify the information and act on it.

Strategy and consulting
Identify where AI can improve a specific task. We assess the available data, integration requirements, and failure risks, then define how to evaluate the feature and introduce it to users.

Conversational AI interfaces
Let users ask questions and take action through the same interface. Connect conversations to application data, structured results, and the tools needed to complete the task.
Our reviews
Why engineering leaders trust Vinta with their products

They’re my engineers and my technical leads. They also protect the quality of the code and make sure that we’re not accumulating technical debt.
Marko GargentaCEO, PlusPlusThey demonstrated an in-depth understanding of our needs through a well-prepared multidisciplinary team.
Ricardo PraviaICT Manager, UNDP
Carlos MontesVP of Engineering, Quilted Health 
Vinta didn’t just address our requests; they also proposed tangible improvements that were practical and easy to implement.
Rodrigo BarbosaMarket IT, Unilever Vinta is always thinking about what’s best for us and only recommending we build what’s really necessary.
Ben YoonHead of Product, everself

Users raved about the changes, and we were able to land many larger clients.
Sophia OttingerVP of Customer Success, Alt Legal
Vinta’s main strength is flexibility. They had the ability to bring our vision to life without any difficulties.
Sathish NaadimuthuCMO, Splendid Spoon- Client storiesFrom kickoff to live productHow teams in healthcare, fintech and SaaS went from kickoff to a product in the hands of their users, and what we built with them along the way.
Open source at Vinta
Evaluate our AI expertise in the code itself
Inspect how we connect AI assistants to application functions, build interfaces backed by FHIR data, and expose project context through MCP. Our open-source repositories give your technical team concrete implementations to assess.
Inspect how we connect AI assistants to app functions, build FHIR-backed interfaces, and expose project context through MCP.
- vinta-ai-workflowsJavaScriptSkills that set up an AI-assisted workflow on a new or existing project.
- medplum-ai-conciergeTypeScriptA healthcare dashboard where an AI agent draws charts from FHIR data on request.
- GPTBundleTypeScriptA React toolkit that turns text into structured forms and suggests autofill with GPT.
- pr-review-canvasTypeScriptReview pull requests with diffs grouped by topic, comments, and optional AI chat.
- entity-embedPythonA PyTorch library that turns entities into vectors for record linkage at scale.
- icd-ai-pocTypeScriptSorts ICD-10 codes into problems and allergies with OpenAI’s API.
- django-ai-assistantPythonIntegrate AI assistants with Django to build intelligent applications.
- django-ai-boostPythonAn MCP server that gives AI coding assistants a Django project’s models and URLs.
- django-ai-pluginsPythonAI skills for Django backend work, for Claude Code, Codex and Cursor.
- django-silk-mcpPythonAn MCP server that gives AI coding assistants django-silk’s profiling data.
Explore more open-source projects and shared engineering tools from the Vinta team.
Explore Vinta on GitHubSee how we apply and evaluate AI
Explore AI search across the UN’s 15,000-resource platform, a FHIR-connected patient portal, and model benchmarks for clinical document comparison. Each resource shows the task, implementation, or evaluation behind the work.
Explore AI search across the UN’s 15,000-resource platform, a FHIR-connected patient portal, and clinical model benchmarks.
Case studyAI-powered solution for UN's Social ProtectionA RAG pipeline with AI search, tagging and summaries for the UN's 15,000-resource social protection platform.
Recommended readingMedplum AI Concierge: build intelligent patient portals with Generative UIAn open-source AI patient portal: a LangGraph agent with tool calling turns plain-language health questions into live, FHIR-backed widgets.Recommended readingJEV-like AI in Medplum: checking visit notes against discharge summariesA medication safety check that compares visit notes with discharge summaries before sign-off, benchmarked across hosted and open-weight models.
Recommended readingDjango AI: integrate LLM capabilities into your projectOur open-source Django app: declare AI assistants as Python classes and expose Django methods as tools the model can call.
Recommended readingBeyond the pilot: why most healthcare AI fails (and how to make it stick)Why healthcare AI pilots stall, and what teams change in workflow, buy-in and data governance to make them last.- Read more on our blogEngineering, design and product notes from the team, on Python, Django, JavaScript, AI and the way we work.



