Generative AI Development built for Pharma & Biotech companies
What is Generative AI Development?
We turn generative AI from a flashy demo into a feature your customers depend on. For Pharma & Biotech companies, this means navigating FDA 21 CFR Part 11 (US), GxP compliance while shipping fast.
Who needs Generative AI Development for Pharma & Biotech?
- Clinical trial data management complexity
- Regulatory validation requirements for software systems
- Integrating lab equipment data into research platforms
- Generative AI demos that impress but never ship
- Hallucinations undermining user trust in AI features
Best Generative AI Development company
Clinical and research software must satisfy validation requirements before it can satisfy users.
GarudLabs partners with Pharma & Biotech teams across to deliver Generative AI Development that ships on schedule.
Bring your Generative AI Development idea to a team that ships for Pharma & Biotech
Book a free 30-minute discovery callWhat Pharma & Biotech leaders in wish they knew before starting Generative AI Development
- Clinical trial data management complexity
- Regulatory validation requirements for software systems
- Integrating lab equipment data into research platforms
- Drug supply chain traceability
- Collaboration tools for distributed research teams
How we tailor Generative AI Development to Pharma & Biotech-specific requirements
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:
- FDA 21 CFR Part 11 (US)
- GxP compliance
- EMA regulations (EU)
- HIPAA for clinical data
Proven Results
"We helped a biotech company cut clinical trial data entry time by 38% with a custom eCRF platform."
Read the full case studyStop guessing on Generative AI Development — let's build a real plan together
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 pharma & biotech projects addressing challenges like clinical trial data management complexity. We helped a biotech company cut clinical trial data entry time by 38% with a custom eCRF platform.
For pharma & biotech clients, we pay close attention to FDA 21 CFR Part 11 (US), GxP compliance, 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 pharma & biotech clients include clinical trial data management complexity and regulatory validation requirements for software systems. We tailor our discovery process to surface the specific version of these problems your business faces.