SignalFitAI is a vendor-neutral marketplace that helps businesses find the right AI vendors for their users — using real-world metrics on quality, safety, and fit.
Every organization serves a unique customer base and operates in a distinct context hence AI vendor evaluation on user-data is crucial for right fit. SignalFitAI analyzes anonymized post-deployment logs to generate quantitative insights — including missed escalations, hallucinations, vendor drift, and missed opportunities — helping monitor & improve real-world AI quality monitoring across user interactions.
Top-performing AI vendors benefit by showcasing how their models perform in live use cases, helping win trust, stand out from peers, and retain enterprise clients with data-backed confidence.
We use privacy-first techniques — including signal anonymization and synthetic data — to ensure sensitive user data remains protected. SignalFitAI teams assess how AI model performance varies across real, anonymized, or synthetic datasets. This also opens opportunities for privacy-preserving and synthetic data partners to demonstrate value to both AI vendors and enterprises and help in more AI adoption.
Two Different Teams, One Frustrating Pattern
Jordan runs customer service at a respected company where AI isn’t the product — but chatbots and voice assistants are now part of the experience. The vendor promised it was safe and trained for their industry. Still, Jordan keeps thinking: “Is this really good enough for our users? Could one bad reply damage years of trust? Are we falling behind competitors who’ve quietly found something better?” With no time to chase hype or run endless tests, Jordan turns to SignalFitAI — a way to see how their AI actually performs on real user interactions, and who could do it better. No guesswork. No marketing slides. Just clarity.
Meanwhile, on the other side… Li leads a specialized AI company — not a household name, but already trusted by forward-thinking teams in their domain. Their conversational AI isn’t general-purpose; it’s built for real workflows in finance, healthcare, or customer operations — safer, sharper, and more efficient than the usual giants. But when it comes to landing larger clients or moving into regulated spaces, the question always comes up: “Do you have proof this works for companies like ours?”
Li doesn’t need a rebrand or a bigger demo budget. He just needs a way to let the product prove itself — on real logs, in real-world conditions.
These are hypothetical. But the fears are real. And they’re more common than most teams admit.
Meet SignalFitAI — a faster way to match the right AI vendor to the real-world gaps that matter.
SignalFitAI sits in the middle: a marketplace that analyzes real, anonymized user interaction logs to surface where safety and quality break down — and which vendors are best positioned to help. It cuts weeks off evaluation cycles, gives vendors a fair shot, and gives teams peace of mind that they’re not leaving trust, efficiency, or competitive edge on the table.
As AI capabilities evolve week by week, SignalFitAI provides continuous monitoring — combining insight from its vendor network with its own AI-driven evaluation layer to track headroom, detect regressions, and flag new opportunities. It keeps clients aligned with the best their domain has to offer — without the overhead of constant benchmarking — ensuring quality stays high, costs stay low, and no one falls behind quietly.
Privacy-Safe Evaluation You Can Trust:
Privacy comes first. SignalFitAI never shares raw logs with vendors. All uploaded data is anonymized and stripped of personal information. We then generate synthetic logs for downstream benchmarking, ensuring your interaction data stays private while still allowing accurate evaluation.
For teams with stricter controls, we offer tools to anonymize and transform logs on your end, so nothing sensitive ever leaves your systems.
👋 What SignalFitAI Does
SignalFit AI creates a simple, neutral and privacy first space where:
- AI product teams can evaluate real user interaction quality, and
- Vendors can show real impact, without the need for trust or pitch decks.
We don’t rely on abstract benchmarks. We analyze small, anonymized samples from your system — and help answer:
- Where is the user experience breaking down?
- Which vendor can actually improve this?
- Will the improvement be worth the cost?
🧭 Why We’re Doing This
This idea started when group of student, while doing a summer program mentored by a Google veteran, wanted to understand real-world AI safety — not by reading papers, but by learning from failed interactions. It resonated with a Google veteran who had spent more than a decade working on large-scale safety and quality systems — and had seen how better measurement often changed product priorities, dissolved fears, and surfaced blind spots teams didn’t know they had.
Together, we’re now exploring product–market fit for a system that quietly but meaningfully improves how AI teams and vendors work together.
No noise. No hype. Just honest evaluation.
👥 Who We’re Looking For
🧠 Enterprises Using AI for User Interaction →
You’re using an LLM-powered product to improve efficiency and user experience — whether it’s for customer support, AI assistants, or task automation — and you want to:
- Understand your user interaction quality with clarity
- Justify or adjust your safety investment
- Explore potential vendor fits before committing
We’ll help you evaluate logs, compare options, and focus on what matters most to your users. If you’re building an AI product and want to improve trust and clarity, learn more here →
🧰 AI Vendors →
You’ve built a tool for red-teaming, moderation, evaluation, or HITL — and want to:
- Prove your value based on real logs
- Show impact without overpromising
- Reach teams who actually care about outcomes
SignalFit gives you a neutral testing ground and a language teams can trust. If you’re a vendor looking to prove your value with real logs, learn how we support you here
📬 Ready to Explore?
We’re working with early partners — on both sides — to co-design the right workflows, metrics, and trust signals.
📩 Get started as a Business Deploying AI Solutions: earlyaccess@signalfitai.com
📩 Apply as a Vendor Partner – earlyaccess@signalfitai.com
🧾 Learn more: About the Founders