# SignalPilot

> SignalPilot is the self-improving Context Factory for your business data. We ingest your dbt project, BI tools, dashboards, and agent traces to draft your context, metrics, and evals as code, then keep your dbt models, semantic models, and skills correct as your teams use them, with evidence-backed answers from Claude Cowork, Codex, Slack, or the web.

## What it is

SignalPilot's Context Factory drafts a company's business context, metrics, and evals as code from its dbt project, BI tools, dashboards, and agent traces, then keeps its dbt models, semantic models, and skills correct with evals on every change. A sandboxed cloud agent delivers evidence-backed answers. Teams use the sandboxed agents from Claude Cowork, Claude Code, Codex, Slack, or the web.

## Product

- [Overview](https://signalpilot.ai/product) — The context and the agent, as one loop.
- [Context & Evals](https://signalpilot.ai/product/context-and-evals) — Keep models, metrics, and skills accurate.
- [Sandboxed Cloud Agent](https://signalpilot.ai/product/cloud-agent-harness) — One multiplayer agent, in any chat.
- [Managed](https://signalpilot.ai/product/managed) — Our engineers run your Context Factory.
- [Onboarding](https://signalpilot.ai/product/onboarding) — Your Context Factory, live in a week.
- [Pricing](https://signalpilot.ai/pricing)
- [Pricing calculator and ROI](https://signalpilot.ai/pricing/calculator)

## Solutions

- [Team Context Curation](https://signalpilot.ai/solutions/self-improving-context) — Every chat improves your context.
- [Sandboxed Agent Harness](https://signalpilot.ai/solutions/sandboxed-cloud-agent) — One multiplayer agent for everyone.
- [Model & Vendor Bakeoff](https://signalpilot.ai/solutions/bakeoff) — Judge models and save on token cost.
- [For Data Leads](https://signalpilot.ai/for/data-leads) — Be the orchestrator, not the bottleneck.
- [For Sales, Product & Execs](https://signalpilot.ai/for/business-teams) — Confident actions, from any chat.
- [For Data Consultants](https://signalpilot.ai/for/consultancies) — Build AI projects and recurring context services.
- [For data teams](https://signalpilot.ai/for/data-teams): Accurate, up-to-date context for your data team and AI agents.

## Research and proof

- [Benchmarks](https://signalpilot.ai/benchmark) — #1 Spider 2.0-DBT · 96.9% ADE-Bench.
- [Case archive](https://signalpilot.ai/comparison) — 39 tasks Claude Code missed, side by side.
- [How we beat JetBrains to #1](https://signalpilot.ai/blog/how-we-beat-jetbrains-to-1-on-the-worlds-hardest-data-benchmark) — Spider 2.0-DBT, the hardest data benchmark.
- [ADE-Bench report: 96.9%](https://signalpilot.ai/blog/signalpilot-ade-bench-96-percent) — The highest score ever, task by task.
- [Build vs. buy](https://signalpilot.ai/compare)
- [Live onboarding session](https://signalpilot.ai/akasa-demo)

## Benchmarks

- Spider 2.0-DBT: #1. 75% (48 of 64) submitted in August 2026; the official leaderboard shows 65.6% (May 2026). Next best: Databao by JetBrains 60.29%, Shadowfax 41.18%, Spider-Agent-Extended with GPT-5 39.71%.
- ADE-Bench (dbt Labs): 96.9% (62 of 64), the highest score recorded. Snowflake Cortex Code CLI 65.1%, dbt Labs 58.1%, Claude Code alone 39.5%. Both SignalPilot and Claude Code runs used Claude Code with Sonnet 4.6.
- Every transcript is public at https://signalpilot.ai/benchmark and https://signalpilot.ai/benchmark/ade.

## Pricing

- Team: $100 a month, includes 5 seats, then $15 per seat; $50 monthly usage credit; 30 data models with evals included
- Scale: $250 a month, includes 15 seats, then $15 per seat; $100 monthly usage credit; 50 data models with evals included; one engineer-week of integration on annual
- Enterprise: custom price per account on one purchase order, includes 100 seats, more by agreement; $1,000 monthly usage credit; 100 data models with evals included; SSO and SCIM, PrivateLink, customer-managed keys, audit export, 99.9% uptime SLA
- Usage on every plan: $0.50 per successful thread plus $0.01 per governed query (failed threads are never billed); $6 per data model with evals per month after the allowance; 30 scheduled eval runs included, then $0.50 plus queries per run; model tokens passed through at the provider's list price with no markup
- Managed: from $2,000 (Team), $4,000 (Scale), $8,000 (Enterprise) a month; a SignalPilot forward deployed engineer runs the weekly loop with a 90% precision guarantee on graded questions; refunds cover SignalPilot fees, never model tokens

## Getting started

- [Onboarding: the integration week](https://signalpilot.ai/product/onboarding)
- [Quickstart](https://signalpilot.ai/quickstart)
- [GitHub](https://github.com/SignalPilot-Labs/SignalPilot)

## Company

- [About](https://signalpilot.ai/about)
- [Blog](https://signalpilot.ai/blog)
- [Partners](https://signalpilot.ai/partners)
- [Support](https://signalpilot.ai/support)

## Legal

- [Privacy Policy](https://signalpilot.ai/privacy)
- [Terms of Use](https://signalpilot.ai/terms)

## Optional

- [Full context for LLMs](https://signalpilot.ai/llms-full.txt)

## Contact

- Email: tarik@signalpilot.ai
- GitHub: https://github.com/SignalPilot-Labs/SignalPilot
- Slack: https://join.slack.com/t/signalpilotcommunity/shared_invite/zt-3w68aak3n-c6_Mks32LtgkAyWxUVp2cw