Generative AI Development built for Healthtech companies
What is Generative AI Development?
We turn generative AI from a flashy demo into a feature your customers depend on. For Healthtech companies, this means navigating HIPAA, HITECH while shipping fast.
Who needs Generative AI Development for Healthtech?
- Navigating HIPAA and data privacy requirements
- Integrating with fragmented EHR/EMR systems
- Designing for clinician workflows, not just patient apps
- Generative AI demos that impress but never ship
- Hallucinations undermining user trust in AI features
Best Generative AI Development company
Patient data, clinical workflows and care outcomes all depend on software that clinicians actually trust.
We work with Healthtech leaders in to plan and deliver Generative AI Development without the usual delivery surprises.
Let's scope your Generative AI Development project — book a free call today
Book a free 30-minute discovery callWhy Healthtech teams in outgrow their current Generative AI Development setup
- Navigating HIPAA and data privacy requirements
- Integrating with fragmented EHR/EMR systems
- Designing for clinician workflows, not just patient apps
- Ensuring uptime for mission-critical care tools
- Managing interoperability across health data standards
What makes our Generative AI Development different for Healthtech businesses in
LLM application architecture and prompt engineering
Retrieval-augmented generation (RAG) pipeline
Output evaluation and guardrail framework
Cost monitoring and model routing setup
Fine-tuning pipeline for domain-specific tasks
Core Technology Stack
OpenAI APIAnthropic APILangChainLlamaIndexPineconePythonFastAPI
Timeline, investment & compliance
Typical timeline
6-14 weeks
Typical investment
$25,000 - $160,000
Generative AI Development engagements in this combination typically need to account for:
- HIPAA
- HITECH
- FDA SaMD guidelines
- GDPR (EU)
- HL7/FHIR standards
Proven Results
"We helped a telehealth startup reduce no-show rates by 38% with an automated scheduling and reminder system."
Read the full case studyBring your Generative AI Development idea to a team that ships for Healthtech
Get a free project cost estimateFrequently Asked Questions
Most Generative AI Development engagements take 6-14 weeks, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Generative AI Development projects with us typically range from $20,000 - $160,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For generative ai development, we typically work with OpenAI API, Anthropic API, LangChain, LlamaIndex, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical generative ai development engagement includes llm application architecture and prompt engineering, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for generative ai development because of generative ai demos that impress but never ship, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple healthtech projects addressing challenges like navigating hipaa and data privacy requirements. We helped a telehealth startup reduce no-show rates by 38% with an automated scheduling and reminder system.
For healthtech clients, we pay close attention to HIPAA, HITECH, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for healthtech clients include navigating hipaa and data privacy requirements and integrating with fragmented ehr/emr systems. We tailor our discovery process to surface the specific version of these problems your business faces.