Andromeda offers an identity and reputation layer for machine-to-machine payments, aggregating cryptographic attestations, on‑chain credentials, and device telemetry into a real‑time trust score accessed via RESTful or gRPC APIs. The service includes a decentralized credential registry, policy‑driven risk controls, and anomaly detection, enabling B2B fintech platforms, IoT manufacturers, and autonomous agent marketplaces to automate trust verification within their transaction pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous software agents and IoT devices often transact without a reliable way to confirm the counterparty’s identity or historical behavior, exposing B2B payment flows to fraud, credential spoofing, and reputation abuse.
Solution
Andromeda delivers an identity and reputation layer tailored for the machine economy. The platform continuously aggregates cryptographic attestations, on‑chain credentials, and behavioral telemetry into a unified trust score that can be queried in real time. Before a payment is executed, developers invoke a lightweight API that returns a deterministic reputation verdict, enabling automated risk controls without human intervention. The service integrates with existing payment protocols and supports both edge‑device and cloud‑native deployments, allowing enterprises to embed trust verification directly into their transaction pipelines.
Target Audience
Primary customers are B2B fintech platforms, IoT device manufacturers, and autonomous agent marketplaces that require automated trust verification for high‑volume, machine‑to‑machine payments.
Features
- Decentralized identity registry that stores verifiable credentials anchored on public ledgers, ensuring tamper‑evident provenance.
- Real‑time reputation engine that fuses on‑chain signals, device telemetry, and third‑party attestations into a numeric trust score.
- RESTful and gRPC API endpoints for instant verification, with SDKs for Python, Go, and Node.js to accelerate integration.
- Policy engine that lets clients define risk thresholds, auto‑reject rules, and conditional escrow triggers based on reputation outcomes.
- Built‑in anomaly detection that flags sudden reputation drops and generates audit‑ready logs for compliance teams.
- FIPS‑140‑2 compliant encryption for data in transit and at rest, supporting GDPR and CCPA requirements.
- Scalable microservice architecture with Kubernetes‑native deployment options for edge or cloud environments.