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Prefactor

Prefactor

The agent observability and evaluation platform for production AI agents.

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Recommended for

    • Solo / Indie
    • Idea-Stage
    • Pre-Seed
    • Seed
    • Series A
    • Scaleup

SSIE

Stage Fit Recommendations

Following data shows why Prefactor is recommended for listed teams. The Fit Score represents the percentage fit of Prefactor to each company stages, as calculated by the SSIE.

Stage

Fit Score

Fit Reasons

  • Solo / Indie

    $0–$2,000 MRR

    77
    • Open-source codebase, independently reviewable
    • Multiple support channels (chat, email)
  • Idea-Stage

    $0

    93
    • Records every agent call, tool invocation, and decision as an individual span
    • Provides agent versioning support with instant rollback functionality
  • Pre-Seed

    $0–$10k MRR

    93
    • Enforces reliability gates across development, staging, and production environments
    • Data encryption at rest and in transit
    • Executes real time runtime enforcement to hold, approve, or block agent decisions
  • Seed

    $10k–$100k MRR

    93
    • Performs automatic PII detection and redaction on every agent step
    • Executes user-defined evals including LLM as judge and technical qualitative metrics
    • Maintains a tamper evident append only log for agent actions and interventions
  • Series A

    $100k–$500k MRR

    93
    • Integrates directly with LangChain, Claude, Vercel AI, OpenClaw, and LiveKit
    • Role-based access control with admin audit logging
    • Third-party penetration testing
  • Scaleup

    $500k–$2M+ MRR

    77
    • SSO / SAML on the Enterprise plan
    • Uptime SLA on the Enterprise plan
    • Custom contracts / procurement on the Enterprise plan
    • Active security and vulnerability disclosure programme
    • Data residency and region selection
Prefactor

Prefactor is an agent observability and evaluation platform for production AI agents. It continuously scores every agent based on quality, hallucinations, and cost. The platform helps solve problems like manual evaluation, data leakage, and runaway costs in AI agent deployments. It offers solutions for support bots, voice customer support, and internal agents. Prefactor provides tools for agent observability, evaluation, and optimization, including token usage, cost attribution, and prompt optimization. It supports compliance with frameworks such as EU AI Act, GDPR, NIST AI RMF, and SOC 2. The platform also features human-in-the-loop and eval-driven development capabilities.

Submitted By

Added On

Aug 10, 2026

Status

Unclaimed

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