CottonLives is an independent AI studio. We build GenAI, multi-agent & RAG platforms for Life Sciences, FinTech and Logistics — on Databricks, Azure, AWS and GCP. Not slideware: three of our AI products are live and open source below.
We don't just advise — we design the architecture and build the thing. POC to production, with guardrails, observability, and cost/latency under control. Here's where we plug in.
Supervisor / sub-agent topologies with role-specialized agents, tool-calling, and human-in-the-loop checkpoints for high-risk actions.
Source-grounded retrieval with citation verification, hybrid search, and disease/domain-aware extraction. Answers that always show their source.
Turn a POC into a production-ready component that plugs into your app with minimal friction — Docker, CI/CD, evals, and BYOK security.
Model-routing by task, token/cost observability, caching, and per-account attribution. Get the cost/quality curve where it needs to be.
Target architecture, integration patterns, governance and guardrails to embed AI into existing enterprise systems, data platforms and workflows.
Architecture blueprints, delivery models and TCO/ROI estimates for large enterprise AI deals — authored and presented to win the deal.
Same DNA across all three: source-grounded, bring-your-own-key, fully open source. Kick the tires on the live demos — or ask us to adapt one to your team's data.
Paste a YouTube URL → a 24/7 AI tutor scoped to your content, with clickable timestamps that jump to the exact second in the source video.
Jump to details Oncology · research teamsDrop an oncology PDF → a 4-sheet structured workbook with a verbatim source quote on every row. ~$0.01 a paper. Defensible by construction.
Jump to details Pharma medchem · SAR teamsPick a target → compounds, IC₅₀/Kᵢ, scaffolds and descriptors from the literature — RDKit-validated and source-traced. Weeks of work in 24–48 hrs.
Jump to detailsCourse creators answer the same questions every cohort, forever. Tutorly does that for them — scoped strictly to their content, with clickable timestamps that jump back to the exact second in the source video.
Translational research teams pull biomarker data out of PDFs by hand — into inconsistent spreadsheets with no audit trail. Drop the PDF into Biomarker Research and get a 4-sheet workbook where every row carries a verbatim source quote.
Medchem teams lose two weeks every new target reading ChEMBL, PMC, and patents. SAR Extractor pulls compounds, bioactivities, and SAR trends from medicinal-chemistry literature into a clean, source-traced dataset — with rendered structures and RDKit-validated SMILES.
Different verticals, same foundations. If you trust one, you can trust the others.
Every answer or extracted row carries the source it came from. No hallucination, no "trust me." If a finding doesn't have a source, it doesn't ship.
Your OpenAI / Anthropic key lives only in your browser. Sent as a TLS header per request. Redacted from logs. Never persisted server-side.
Every line of every product is on GitHub. Audit it, fork it, run it on your own infra. Don't trust black boxes — and especially not with your data.
FastAPI · React · ChromaDB · OpenAI · Docker · Hugging Face Spaces. No magic, no exotic frameworks, no vendor lock. Easy to extend, easy to self-host.
CottonLives is a small, senior AI studio with 19+ years of deep-tech experience across AI, cloud and enterprise platforms. We specialize in GenAI, multi-agent / agentic systems, RAG architectures and LLM integrations on Databricks, Azure, AWS and GCP — combining OpenAI/Claude-style models with custom-trained models, vector search and cloud-native microservices.
We've designed and delivered production AI for Life Sciences, FinTech and Logistics across the US, UK, EU and Asia. We own the architecture and debug the pipeline at 2am — POC to production, without the hand-off gap that kills most AI projects.
Tell us what you're trying to build — a RAG platform, an agent that does real work, or an AI POC that needs to become production. We take on a small number of consulting & build engagements.