AI Development built for Pharma & Biotech companies
What is AI Development?
We design and ship production AI systems, not just proof-of-concept demos. For Pharma & Biotech companies, this means navigating FDA 21 CFR Part 11 (US), GxP compliance while shipping fast.
Who needs AI Development for Pharma & Biotech?
- Clinical trial data management complexity
- Regulatory validation requirements for software systems
- Integrating lab equipment data into research platforms
- AI pilots that never reach production
- Lack of in-house ML engineering talent
Best AI Development company
Clinical and research software must satisfy validation requirements before it can satisfy users.
GarudLabs delivers AI Development for Pharma & Biotech companies in with the rigor enterprise clients expect.
Get a clear AI Development roadmap for your Pharma & Biotech business in
Book a free 30-minute discovery callThe real cost of getting AI Development wrong in Pharma & Biotech
- 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
Why Pharma & Biotech companies in trust us with AI Development
Custom LLM application development
RAG pipeline implementation
Model fine-tuning and evaluation framework
AI infrastructure and MLOps setup
Production monitoring and cost-optimization dashboard
Core Technology Stack
PythonPyTorchLangChainOpenAI APIAnthropic APIPineconeFastAPIKubernetes
Timeline, investment & compliance
Typical timeline
6-14 weeks for first deployable AI feature
Typical investment
$25,000 - $180,000
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."
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Get a free project cost estimateFrequently Asked Questions
Most AI Development engagements take 6-14 weeks for first deployable AI feature, 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.
AI Development projects with us typically range from $20,000 - $180,000, 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 ai development, we typically work with Python, PyTorch, LangChain, OpenAI API, 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 ai development engagement includes custom llm application development, 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 ai development because of ai pilots that never reach production, 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.