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iFixAi
Independent auditing for AI agents
Apache 2.016.7k GitHub starsTrendshift · Python #1 Repository of the Week64+ audit categoriesOpen-source engine available
Opportunity score
66/100
iFixAi attacks a real, under-served trust gap in AI agents with a differentiated independent-audit position, but it still needs proof of paid demand and enterprise credibility.
Founder verdict
MAYBE
iFixAi has the right problem and a sharp wedge, but the public evidence does not yet show paid demand or enterprise trust.
What is iFixAi?
iFixAi sells independent trust audits for AI agents, aiming beyond evals and observability to verify purpose, authority, workflows, responsibility, and evidence. Its landing page uses a striking side-by-side customer support refund ticket to show how an agent can pass internal checks while hiding fraud flags, overriding manager decisions, and changing payout accounts without authorization. The product connects through GitHub or MCP, simulates agent behavior, runs audits across 64+ categories, and returns reports and badges. It has an open-source Apache 2.0 engine and developer traction, but no public revenue, pricing amounts, named customers, or team size, so the business stage is unknown.
Get the full iFixAi playbook
The complete reverse-engineering — what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning — with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy — what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move