Lab and assay data platform
Instrument data standardised and ready for analysis.
- 1Ingests instrument outputs
- 2Validates and versions data
- 3Serves ML and analysis teams
Boston, MA · Data & AI Platforms
Data platforms and ML for Boston organisations, from lab and clinical data to portfolio analytics, with lineage and validation built in.
Data & AI Platforms in Boston
Boston is built on science and stewardship: biotech and pharma in Kendall Square and the Seaport, world-class hospitals, universities and large asset managers. The work is regulated and evidence-driven, so AI has to be validated, traceable and careful with sensitive data.
Where it fits
Instrument data standardised and ready for analysis.
Find failure patterns across robots and test runs.
Forecast admissions, beds and staffing needs.
Built for Massachusetts rules
A written information security program covering AI systems too.
Safeguards and a business associate agreement for anything touching patient data.
Validated systems, audit trails and e-signatures for regulated records.
Student records only shared with AI tools under the right agreements.
Incident response and customer notice for breaches of customer information.
Working together · Eastern Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
How we work
We map your data sources, flows, owners and quality issues.
We design a platform that fits your cloud, scale and budget.
We deliver pipelines, models and dashboards in working increments.
We set up monitoring, alerts and governance your team can run.
Yes. We version data and code, keep audit trails and document the pipeline so analyses can be reproduced and validated.
We design to your written information security program: encryption, access control, monitoring and vendor oversight, applied to the data platform and AI tools alike.
MLOps is the set of practices and tools for deploying, monitoring and updating machine learning models reliably, much as DevOps does for software. It keeps models accurate as data changes.
We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.
Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect