Stop texting your DBA.Start asking your data.
Pulse Agent is a conversational analyst wired to your warehouse through MCP. It reads the schema, writes the SQL, runs it, renders the chart — and hands you a narrative you can forward to your team. No tickets. No waiting. No 80% spent on prep.
- →From question to answer in under 60 seconds, not 3 days
- →Your data stays yours — MCP-typed tools, no pipelines to rebuild
- →Every answer is receipt-backed SQL — audit, edit, or promote to production
Your team's time doesn't have to go here.
It should go into decisions.
“80% of my time is prep — it's not the analysis that burns me out.”
60-second answers, receipts-backed SQL, charts, and narrative — in one pass.
“I text a DBA and wait. Predicting replenishment also takes one person full time.”
Ask in the chat, get the SQL + the answer + the chart. Replenishment runs as a scheduled agent.
“We have a whole team consolidating investment information from hundreds of sources, correlating to market reports.”
One agent consolidates across MCP-typed tools — banks, PE reports, market feeds — on every question.
“Per-unit cost is impossible to track. Thousands of moving variables across CRM, SAP, and other silos.”
Every variable is a query away. Silos stitched on demand. Cost deltas answered in seconds.
Built on MCP,
shaped by context.
Pulse Agent is not a chatbot bolted onto a dashboard. It talks to your warehouse through a Model Context Protocol server, loads the right skill for the right step, promotes queries to reusable metrics, and orchestrates the downstream work.
Under the hood.
Wired to your
warehouse.
Prompt, context and memory fuse into a reasoning loop that talks to your warehouse through Wilab MCP — Postgres, Snowflake, BigQuery or ClickHouse, whichever you run.
Bring your own Postgres, Snowflake, BigQuery or ClickHouse. Wilab MCP exposes tables and views as typed tools the agent can reason over safely.
Each chart or table is paired with the exact SQL that produced it — inspect, edit, re-run or promote to a production view in one click.
Ask for a redistribution plan, a supply decision, a cohort breakdown — receive a response you can ship to Slack, email or your ops tooling.
Not prompts.
Context.
Every agent call is a choreography of skills, memory, tools and compressed history. Pulse Agent ships with a skill library informed by context-engineering research, so the model spends its tokens on your problem — not on remembering how to work.
- Context fundamentals
- Degradation patterns
- Compression strategies
- KV-cache compaction
- Multi-agent patterns
- Memory systems
- MCP tool design
- Filesystem context
- Hosted agents
- Context optimization
- Latent briefing
- Evaluation frameworks
- Observability hooks
- BDI mental states
- Belief revision
- Intention ladders
- Goal stacks
Only the skill required by the current step enters context. Finished skills get pruned. Long sessions stay fast.
Append-only sessions, entity tracking, and a knowledge graph over your data catalog — so the agent improves session over session.
LLM-as-judge evaluations, rubric scoring, pairwise comparison — baked in so you can measure the agent against your ground truth.
95% of AI pilots fail to reach production.
Not for lack of models — for lack of data access.
“Everyone wants to do the model work, not the data work.”
Wilab is the data work.
Insight is
never the
last step.
Every workflow is a graph. Trigger the agent on a schedule, an event or a webhook. Chain tool calls, branch on thresholds, and fan out to Slack, Linear, email, or your own APIs — all as code, reviewable in a PR.
The SQL
behind every
answer.
A safe playground to explore sources and validate transformations. Craft queries in natural language, edit the result, promote them into production metrics with a single click — no copy-paste, no lost lineage.
- Natural-language drafts: Describe the metric; the studio proposes the SQL and the chart type.
- Version-safe edits: Every query lives as a named view with an owner, a diff history, and a test suite.
- One-click promotion: Ship a draft to a production view without leaving the studio; downstream dashboards pick it up automatically.
- Back-channel to the agent: Every answer in the chat links back to the underlying SQL — open, edit, re-run.
Deploy your first agent
in seven days.
Every quarter without an agent is a quarter your competitors ship one. We plug in one warehouse, wire in one workflow, and hand your team a live agent — guided, end-to-end.