Move fast and
trust the answers
AI agents are only as good as the context they have.
Teams want AI-native answers but keep getting ones that are confident and wrong. The fix isn’t a smarter model — it’s giving agents the context your best analysts carry in their heads.
Legacy BI is a dead end
Dashboards, ad-hoc SQL, weeks of analyst time. Every data team is tired of the old stack and ready for AI-native answers.
Context-free agents are confident and wrong
Plug Claude or Cursor into your warehouse via MCP and you’ll get answers in seconds. Most of them wrong.
Tribal knowledge doesn’t scale
You need a way to capture, organize, and maintain the context your best analysts hold in their heads, and feed it to every agent that touches your data.
A context layer that builds itself, validates itself, and flags what it doesn't know.
Delphina captures context from both your digital sources and the analysts who carry the rest in their heads. The output is a compiled, canonical knowledge base that your agents can trust.
A living map of your data
Delphina reads the same information you would give to a new data analyst on your team — from your warehouse data to your favorite analyses — to build a living map of your data landscape.
Speaks your language
Raw data doesn’t speak your language. Delphina systematizes how your business actually works with your definitions, your metrics, and the unwritten rules your best analysts carry in their heads.
Evals plus a critic agent
Delphina builds its own evals to ensure it can accurately reproduce your most important metrics, and every answer passes through a built-in critic agent that pressure-tests reasoning. With full SQL lineage and org-wide observability, nothing is hidden.
Learns with every interaction
Delphina learns with every interaction. As priorities shift, schemas update, and your team asks new questions, the system autonomously learns and adapts alongside you.
One operating surface for your entire context layer.
See the products your context layer powers.
Delphina ships best-in-class data agents, end-to-end workflows, and shareable data apps — all grounded in the same validated knowledge.
Best-in-class agents, workflows, and data apps — shipped in the box.
Our own products are the proof the foundation works: the highest-accuracy data agents on the market, end-to-end workflows, and shareable data apps your whole team can use.
Natural-language answers your team can trust
Ask in your own words. Get SQL, tables, charts, and written analysis — grounded in your context layer, reviewed by a critic agent in real time.
Interactive dashboards your whole team can explore
Spin up production-quality data apps from a prompt, then iterate on styling and analysis in chat. KPIs, charts, and forecasts that are context-aware, refreshable, auditable, and backed by the same validated knowledge as the agent.
Scheduled analyses that ship themselves
Recurring weekly business reviews, KPI digests, and proactive alerts that run on a schedule and surface narrative findings — not just charts.
Answer expert level data science questions
Iterate on a plan with the agent, then it creates and evaluates hypotheses, runs parallel investigations, trains predictive models when appropriate, and delivers a complete analysis when ready.
Insights that find you, not the other way around
Always-on agents that watch your data and ping you the moment they spot something anomalous, insightful, or tied to interests you’ve flagged. Not just when you ask.
Real answers, right in Slack
Chat with Delphina like any member of your team: in plain English, in the app or on Slack. Ask a question and watch as Delphina plans the analysis, pulls the context, writes the SQL, runs it against your warehouse, and returns charts and tables in record time.
Or bring your own agents
Point Claude, Cursor, or your internal agents at your Delphina workspace. They inherit the same validated context, and the same answer quality.
Your data stays on your side of the boundary. Always.
SOC 2 Type II certified. Read-only warehouse access. Sandboxed execution with no internet egress. Every query auditable.
Type II Certified
Annual audit. Continuous controls monitoring. Report available under NDA.
Read-only, least-privilege
Role-scoped warehouse credentials. No write paths. RBAC enforced at the namespace level.
Isolated execution
Python and DuckDB run in an isolated Firecracker microVM with no internet access.
Structured logs
Every prompt, query, and knowledge reference logged and exportable.
Give your agents the context they've been guessing about.
See how Delphina's context layer turns your warehouse into a source of truth your agents can trust.