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Custom RAG & agents, for healthcare data, by the experts

We design, build, and deploy custom RAG for healthcare trained on your data and wired into your stack. First scoping call this week - POCs in 27 days.

See why healthcare companies have trusted us since 2022.

The experts are watching how we build

Shout out to Matt Payne at Width.ai. Great article on using dynamic shot prompting for each turn of the conversation to optimize the bot’s ability to flow with the conversation and give ideal responses. Brilliant technique here. We have a lot to learn from people in the field who have been developing solutions for customers since GPT2!

Kevin Tupper AI Lead, Microsoft
View the post on LinkedIn ↗
Explore our healthcare RAG services

We build healthcare winners

Custom Agentic Chatbot with Voice Ai for 10,000+ customers

Custom voice-to-text and voice-to-voice agents inside our full scale agentic system, with a knowledge base per organization. Used by enterprise teams daily.

See the build →

Patient Records Q&A System for Home Health

Patient record Q&A system built on our custom medical record processing architecture. Uses a program-synthesis layer to classify page type and visit context, so questions about referring physicians, home-health-care providers, and dosage info return answers attributed to correct document and visit, not just the first match on the page. work directly used for startup’s seed round

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Agentic chatbot with 96%+ field accuracy

A records assistant that pulls diagnoses, ICD codes, meds, and dates into one patient timeline. Served on-prem via Ollama; work directly used for startup’s Series A.

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30% reduction in EMR record search

Completely custom agentic framework for searching legacy EMR systems uses natural language queries instead of complex SQL queries

See the architecture →

Services - What we build

How we work with you on building custom RAG systems for healthcare

Strategy & scoping

Use case, feasibility, plan

Conversation design

Flows, prompts, behavior

Architecture

RAG, agents, data

Build & fine-tune

Custom models & pipelines

Integration

Into your stack & channels

Optimization

Eval, tuning, monitoring

Hire-a-Dev For Your RAG work
Need a single engineer to join your team to help you build healthcare RAG? Our hire-a-dev model integrates one of our experts into your existing development team. Works at any stage of project lifecycle in a secure enviroment.


Best for: teams already building
Project Based RAG Development
Looking to build a SOTA RAG system with LLMs & agents tuned just for healthcare? Let Width.ai build your production grade healthcare chatbot for your exact use case and data storage stack. Let's scope out your project!



Best for: idea to production
RAG Architecture Consulting
Looking for expert advice on how to build high accuracy RAG systems? Want to understand if the system you've already designed is the best solution for success? Our RAG and healthcare consultants can help you go from idea to a production RAG system.

Best for: guiding your dev team
Let's see what works for you

Every chatbot we build ships as a deployable API — it drops straight into your product UI, internal workflow, EMR, or backend system

Data Types
Medical records EMR & EHR records Medical chronologies Admission documents Hospital records Personal health records
Platforms & systems
EMR platforms Salesforce Kaiser/Epic data store Patient record store Google Drive Amazon EMR EHR platforms
Frameworks & Agentic Systems
LangGraph LangChain RAG Hermes OpenClaw On-prem / private Fully custom agentic system
Testimonial Image

Matt is an AI expert in a sea of could/would/should be experts. He is a quick learner, has a sharp mind for business, and knows how to bring AI to organizations struggling to make sense of it all. We used him as a consultant and will re-engage as our internal discussions and project planning progress.

Nick Matteucci

CEO, WorkOtter
Testimonial Image

Matt is an expert. He's also a friendly, flexible, and able communicator. He came through just as promised and was able to suggest a helpful work flow for the project. I hope and plan to work with him again.

Jim Dennen

Professor, Denison University
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Matt is an experienced AI expert who can shortcut your time to market. He has a wealth of knowledge and is very willing to share it.

Mic Black

Mic's Lab Pty Ltd
Testimonial Image

Matt has expert-level knowledge and a great consultant. He helped us assess an outside vendor and allowed us to ask the right/intelligent questions. In the end, his knowledge saved us from getting into a deal that I think would have been very bad. Saved us $10s of 1000s of $s.

Nicky George

CEO, SalesHawk

Types of Healthcare RAG Systems We build

Where our customers focus

Customer support bots

Improve customer service, deflect tickets, and answer from your knowledge base 24/7.

Medical Records Q&A

Ask questions, generate reports, and create detailed insights with natural language queries. All answers provide citations and exact page references across document storage.

Voice assistants

Voice-to-text and voice-to-voice, at enterprise scale.

AI agents

Multi-step, tool-using agents that complete real workflows in compliant systems with custom models.

Complex document processing workflows

Custom document processing systems built just for medical and healthcare documents with SOTA accuracy.

Enterprise & system-connected

Secure ai chatbots wired into your EMR, portals, and internal tools.

Why our healthcare rag experts?

Width.ai uses a cutting edge understanding of the chatbot industry and the SOTA frameworks to develop RAG systems outperform off the shelf solutions.

Width.ai Case Study

The Exact Steps to Implement Custom Ai Shopify Chatbots for Customers

How we build custom chatbots for Shopify stores that are proven to keep customers on your site and increase conversation rate

SEE THE CASE STUDY

Width.ai Case Study

Agentic Ai System for E-Commerce PDP Optimization for Enterprise

How Width.ai built a LangGraph multi-agent system that turns competitive, ranking, and compliance data into client-ready Amazon listing optimization briefs — for a Fortune 400 holding company serving 3000 brands.

SEE THE CASE STUDY

Width.ai Case Study

Do Users Prefer Chatbots or Menu-Based Formats? Deep ai chatbot research

Faster is better! Proven research that customers prefer chatbots over filters and layered navigation - and convert better.

SEE THE CASE STUDY

Width.ai Case Study

How we build custom Wordpress chatbots for more customer engagement

Take advantage of the extensive ecosystem of plugins and APIs Wordpress offers to integrate a custom chatbot to improve customer service or business operations.

SEE THE CASE STUDY

Width.ai Case Study

Sales Pipeline Tasks Automation

Our agentic framework for automating the daily tasks in your sales org. This framework cuts deal lifecycle time, reduces "fall through" deals, and time to find quotes. Integrates directly with slack, your CRM, notetakers, email, and google docs.  

SEE THE CASE STUDY

Width.ai Case Study

Agentic framework for chatting across entire deposition cases

Our SOTA framework for chatting with entire cases and depositions, exhibits, and medical records using a custom multi-agent approach with citations and validations. Built specifically to cover areas where semantic driven approaches fail.  

SEE THE CASE STUDY

Width.ai Case Study

Deep insights on email marketing campaigns

Connect your email marketing provider and your CRM and get deep insights into what is performing well, what isn't, and the why. This ai chatbot is built into a larger dashboard used by marketing teams.

SEE THE ARCHITECTURE

Width.ai Case Study

Our framework for custom Salesforce chatbots to automate sales & marketing

Salesforce's built in ai capabilities lack the required customization to build truly valuable chatbots that actually automate tasks. You need control over the chat infrastructure to make it yours.

SEE THE CASE STUDY

Width.ai Case Study

Zendesk Custom Ai Chatbot using Our Framework

Control over data, control over prompts, control over how the chatbot works - that's what you get when creating a custom chatbot. Our Zendesk chatbots understand your business use cases.

SEE THE CASE STUDY

Width.ai Case Study

How we built a customer service chatbot using an open source LLM

How we took an open source LLM and through fine-tuning, optimization, and user feedback built a powerful customer service chatbot to improve customer satisfaction.

SEE THE CASE STUDY

Width.ai Case Study

Custom Conversational System for NeuroLeadership Institute

Fully custom enterprise conversational system with voice integrations for speech to text & speech to speech. Custom knowledgebases and configurations per enterprise. 10k plus customers including fortune 500.

SEE THE PRODUCT

Width.ai Case Study

Patient Records Q&A System for Legal Customers

Q&A system built on top of med doc processing architecture. Uses custom LLM + program-synthesis layer to classify page type and visit context, so questions about referring physicians, home-health care providers, and dosage return answers attributed to the correct doc and visit — not just the first match on the page. 96% accurate. Raised 8 figure series A.

SEE THE ARCHITECTURE

Width.ai Case Study

How we build in-domain conversational systems with LLMs and RAG

Our full breakdown on our SOTA chatbot framework. We use ability trained LLMs, RAG, prompting frameworks and more for our success.

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Width.ai Case Study

The best fine-tuning framework for chatbots

How we use MosaicML for fine-tuning open source LLMs for our custom chatbots.

SEE THE CASE STUDY

Width.ai Case Study

How we fine-tune open source LLMs using RLHF for custom chatbot solutions

Transforming generic open source LLMs into conversationalists and advanced ai agents.

SEE THE CASE STUDY

Width.ai Case Study

Our favorite techniques for building LLM-Powered Autonomous Agents

Some of the frameworks we use for building agents that work on end to end processes by planning and executing.

SEE THE CASE STUDY

Are your custom RAG solutions set up to integrate into existing systems?

Yes! Pretty much all of the chatbots we build are used as integrations into existing systems. We build all of our natural language processing systems as deployable APIs so they can easily be added to a SaaS UI, internal workflow, or mobile apps. 

Does custom chatbot development take long?

There are a ton of variables that go into the length of time it takes to go from zero to hero when building truly intelligent chatbots. Things like:

- What is the scope level (MVP vs Prod)? Every POC we build is scoped to 27 days.
- Are we integrating external tools and APIs into the workflow?
- How complex is our knowledgebase?
- Are we tracking customer interactions?
- Do we have any speed or infrastructure requirements?

Completely drive the timeline. We scope everything ahead of time so you know exactly what the plan is and how we will get there.  

How are you a different ai chatbot development company?

We're not a general software firm where ai is branch of what we do, its all we do. Custom chatbot solutions are something we've been building before these other firms decided to move into ai.  

Custom Chatbot Development Services

Tell us what you're building and where you're at, and you'll leave the first call with a clear scope and the chatbot development cost.