Enterprise Claude adoption, engineered for your teams and systems.
Whether you need your workforce using Claude every day or custom workflows and data pipelines built straight into your tech stack, we engineer the execution.
Claude Training & Enablement
Hands-on training that makes Claude a daily habit for your leadership team and the wider organization, built around how your teams work.
Explore TrainingClaude Implementation & Data Engineering
Forward-deployed engineers who build custom Claude workflows, connectors, and guardrails directly into your enterprise systems, so Claude runs predictably across your business.
Explore ImplementationClaude Science for life sciences
We set up Anthropic’s Claude Science research app on your lab data and computing, and train the scientists who’ll use it.
Explore Claude ScienceForward Deployed Engineers
A senior Trackmind engineer joins your team, learns how the work gets done, and builds Claude into it.
Explore Forward Deployed EngineersClaude for Life Sciences R&D
We help R&D, clinical, regulatory and quality teams connect Claude to their lab data and systems, with clear guardrails, starting with a 30 to 90 day pilot on one workflow.
Explore Claude for Life Sciences
Sid Shah, co-founder of Trackmind, on how we help enterprises adopt Claude.
Case Studies
GrowHealth®
Trackmind acted as GrowHealth’s implementation team, deploying Claude across their GrowBaby® engine to automate care-plan generation and accelerate engineering.
- 1–3 days → near real-timeCare plan turnaround
- Up to 90%faster product development
Precision BioSciences
Trackmind’s AI Foundations program and an embedded Forward Deployed Engineer took Precision BioSciences from initial Claude access to organization-wide fluency.
- 90%+of the organization trained on Claude Cowork
- Ongoingembedded engineering model established
Further Reading
More from Signal, our blog, on adopting Claude well.
The Two Leaders Who Need to Solve AI Adoption Together
AI deployment and the human response to it are managed as separate workstreams in most enterprises. The organizations that get adoption right put AI and HR leadership on the same page.
Read on Signal →Human Side of AI: Why Your Biggest Investment Isn't Technology
Companies spend millions on AI platforms and models, then adoption flatlines. The technology works fine — the blind spot killing most AI initiatives is that people were never part of the plan.
Read on Signal →Embedded AI Engineer: Why Embedding Beats Handoff
An agentic workflow can pass every test and still be wrong for the business, because the judgment that makes it right was never written into the spec. Embedding is the only place that judgment can be read.
Read on Signal →Enterprise AI has a trust problem
Trust isn't something a model hands you, it's produced around the model, by work currently split across teams and owned by none of them. The missing role is who's accountable for defending an output.
Read on Signal →and Technology Leaders At
- S&P Global
- Barry Callebaut
- ADM
- TekniPlex
- Precision BioSciences
- GrowHealth
Bring Claude into your enterprise
Whether your teams need hands-on training or Claude built into your core systems, tell us where you are today and we’ll work out the right place to start.