signalpilot.ai valid
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.
- Authority
- 48 reach 0 · trust 8 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.signalpilot.ai/llms.txt
- llms-full.txt
- https://www.signalpilot.ai/llms-full.txt
- Sections
- 11
- Links
- 30
- Size
- 5330 bytes
- Registered
- 2025-09-12
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:50:32.950Z
- Last checked
- 2026-10-25T18:50:34.504Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:50:32.954Z. Cached copy · Source on signalpilot.ai
# 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:
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