Operations and professional services teams
Internal knowledge assistant
A RAG-powered assistant that searches policies, documents, and technical knowledge across tools, with grounded citations and review trails.
Solutions
Use cases across business, research, and science.
A snapshot of the kinds of projects we are well suited to. If your problem is close to one of these, we can probably help — and if it is not, we will say so.
Use cases
Concrete projects, not abstractions.
Startups and product teams
Predictive analytics prototype
Design and evaluate machine learning models for forecasting, classification, or risk scoring, with clear baselines and validation criteria.
Data-heavy small businesses
Data pipeline modernization
Move scattered files, scripts, and manual exports into reproducible cloud pipelines that analytics, ML, and reporting teams can rely on.
Research labs and R&D teams
Research workflow automation
Automate repetitive data preparation, literature review, model evaluation, and reporting steps so researchers can focus on hard problems.
Mid-sized operations teams
Business process automation
Combine structured data workflows and AI components to reduce manual review, triage, and reporting effort across operational systems.
Life sciences and biotech groups
Scientific AI support
Develop AI workflows for genomics, bioinformatics, imaging, and other complex scientific datasets, with reproducibility built in.
Who we serve
Teams across multiple domains.
We are not a single-vertical shop. Our work moves across business, research, and scientific domains because the underlying problems — data, modeling, evaluation, workflows — rhyme.
-
Startups and product teams
Prototype, evaluate, and ship AI features without taking on long-term ML infrastructure debt.
-
Operations and professional services
Automate document-heavy workflows, internal search, and reporting with grounded AI assistants.
-
Research and academic labs
Reproducible pipelines, scientific ML, and tooling that frees researchers from repetitive work.
-
Life sciences and biotech
Bioinformatics, genomics, and scientific AI workflows with privacy-aware handling of sensitive data.
-
Data-heavy small businesses
Modern pipelines and dashboards that turn scattered exports into systems your team can trust.
-
Enterprise data & ML teams
Fractional support on the hard parts: evaluation, retrieval quality, orchestration, and architecture.
Your project
See yourself in any of these?
Tell us the problem in your own words. A short message is enough to start a useful conversation.