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SignalBrain

SignalBrain provides a trust layer for AI‑modified software by maintaining a ledger that verifies every claim against actual outcomes. It issues signed receipts and only grants autonomy to code changes after objective re‑scoring proves reliability, with all verification running entirely in the browser and no data uploaded. The system integrates with CI pipelines to detect over‑claims and offers measurable evidence of fraud recall and simulated value saved.

Updated 23 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Teams deploying AI‑modified software often lack a reliable way to verify that claimed improvements or changes actually materialize in production, leading to over‑claiming, hidden regressions, and reduced trust in automated deployments.

Solution

SignalBrain provides a browser‑based governance ledger that records every claim about code changes and automatically validates each claim against observed outcomes after merge. The system issues cryptographically signed receipts for each run, re‑scores claims objectively, and grants autonomous execution rights only to change classes that consistently demonstrate reliability. By replayable evidence and a public, git‑derivable record, teams can detect over‑claiming, prevent metric gaming, and maintain a trustworthy AI‑driven deployment pipeline without uploading any data.

Target Audience

Primary customers are engineering, operations, and compliance teams in sectors such as finance, telecom, robotics, healthcare, and cybersecurity that deploy AI‑augmented software and require accountable, evidence‑based change management.

Features

  • Browser‑only ledger that captures claims, outcomes, and signed receipts without external data transfer
  • Objective post‑merge re‑scoring of claims per change class to determine eligibility for autonomy
  • Replayable evidence and public record derivable from git history for auditability
  • Integrated “Titan” runtime environment that stress‑tests receipts and gate logic against real workloads
  • Automated detection of over‑claim patterns and calibration failures with concise field notes
  • CI integration that wires agents to generate receipts and reports surviving claims
This profile is AI-generated and may contain inaccuracies.