We build AI that shows its work.
Intelligence for the questions enterprises stopped asking — where money quietly leaks, and whether your AI can be trusted in production.
// 01 — The Questions
Somewhere in your company, a subscription is auto-renewing for software nobody has opened since 2023. Nobody cancelled it, because nobody owns it.
Somewhere, an AI agent just took an action no one reviewed. It was probably right. Probably.
We started Apliv AI because “probably” isn't a control.
// 02 — Who We Are
An AI company built on an old-fashioned idea: accountability.
We build instruments, not demos — software that watches what enterprises can't, explains what it finds, and hands the decision back to a human.
See
Surface what hides in plain sight — in invoices, agents, and the systems nobody audits.
Explain
Every finding in plain language, with evidence. If we can't explain it, we don't show it.
Hand back
The decision returns to your team. Our AI recommends; it never acts alone.
// 03 — Our Belief
AI should augment human judgment. Never replace it.
That principle shapes every product we build.
// 04 — What We Build
Two products. One conviction.
Each takes an unglamorous, expensive problem and makes it visible, explainable, and fixable.
loopr
Spend Intelligence Platform
For the money that leaks while nobody's looking. loopr turns your invoices into questions worth asking — and answers you can act on.
Explore looprTolator
AI Agent Testing Platform
For the agents you're about to trust with real work. Tolator tests them the way production will — before production does.
Explore Tolator// 05 — The Gate
Every agent earns its deployment.
The same discipline that watches your spend guards your AI. Tolator runs every agent through production-shaped tests — and nothing ships until a human reads the report and says so.
// 06 — Applied Research
An applied lab, not a wrapper.
The unglamorous engineering underneath is what makes the products sharp.
Fine-tuned domain models
We fine-tune small models on invoice and agent-trace data — task-sharp accuracy at a fraction of frontier-model cost.
Graph engineering
Vendors, contracts, usage and owners live in a knowledge graph — one weak signal pulls up the whole story behind it.
Cost-curve research
We continuously re-benchmark models, prompts and retrieval — every quarter, analysis gets cheaper without getting dumber.
// 07 — By Design
Guarantees, not projections
// 08 — Why We Build
We watched enterprises celebrate savings that quietly evaporated two quarters later. We're building Apliv AI so no one has that conversation twice.
// 09 — How We Work
Working with us
Connect
Plug into your existing tools and data sources.
Analyze
AI surfaces the insights that matter most.
Act
Your team reviews and makes the final call.
Built for enterprise teams
Ready to see AI work
for your enterprise?
We'll show you how Apliv AI fits into your workflow.