Fibinaci A navigable map of your enterprise for agents Apply →
PILOT PROGRAM · OPEN · LIMITED COHORT
Backed by
·
§ 00 · Premise 2026

A navigable map of your enterprise, for your agents.

Your agents do not need bigger models. They need to know your business: every warehouse, every app, every system that runs it. Fibinaci builds that map. Your agents read it and act on it with near-100% accuracy.

Apply for a pilot → Watch the demo
§ 01 Demo Live walkthrough · 4:41

An agent reading a Fibinaci map of a real enterprise. Four minutes.

Play · 4:41
Figure i Agent walkthrough · real enterprise 2026
§ 02 Industry signal 2025—2026

Without a map of your data, an agent is guessing. The numbers reflect that.

Figure i
31%

accuracy from frontier models reading enterprise data without a map1

Figure ii
70%

of companies find their data is the bottleneck only after the agent is live2

Figure iii
46%

of enterprise AI pilots are scrapped before production3

Figure iv
4.6×

rise in frontier inference prices in early 20264

The model is not the problem. Agents cannot navigate your business.

References
1Spider 2.0 enterprise text-to-SQL benchmark, April 2025. Best frontier model execution accuracy on real enterprise schemas with 1,000+ columns.
2Sinequa, "How to Measure Enterprise AI Search and Agentic AI ROI," 2026.
3Writer, "AI Adoption in the Enterprise," 2026 survey of 2,400 knowledge workers and C-suite leaders.
4OpenAI and Anthropic public pricing changes, April 2026. GPT-5.2 input pricing rose from $1.25 to $5.75 per M tokens.
§ 03 What changes The day you plug in

With the map in place, three things change. None of them are abstract.

Accuracy

Agents act correctly.

An agent with a map of your enterprise is not guessing. It knows what exists, what each field means, how systems connect, and what is safe to touch. Accuracy on real work climbs from coin-flip to near 100%.

Accuracy on enterprise data
Without
31%
With map
~100%
The map closes the gap between the model and your data.
Inference spend

Your AI bill drops.

An agent reading a map does not have to load your systems into context. Smaller models do the work frontier models used to. Real dollars off your monthly inference spend, while frontier prices climb.

Monthly inference cost · illustrative
Before
$47K
With map
$14K
~70% reduction. Smaller models, leaner context.
Time to value

Pilots stop dying.

No four-month integration cycle per system. No security review blocking every project. Map your data once, plug agents in across the company, sign off once. Outcomes inside one budget cycle.

First agent on real data
Before
18 wks
With map
3 wks
From kickoff to live workflow. One budget cycle.
§ 04 How it works Three movements

Fibinaci sits between your enterprise and your agents. One map. Every system.

01

Connect

Connect your warehouses, databases, business apps, and the systems that run your operations. Fibinaci reads how each one is shaped. Your data stays where it is.

02

Build the map

Fibinaci builds a navigable map of your enterprise. What exists. What it means. How systems connect. What an agent is allowed to touch. Your team approves it before any agent sees it.

03

Agents read and act

Your agents read the map and act on it. Any agent, any model. Claude, GPT, in-house, open source. One connection. Every action governed and logged.

§ 05 No lock-in By design

One map. Any agent. Any model. No lock-in.

i · ANY AGENT, ANY MODEL

Switch models, keep the map.

The map is yours. Run any agent on any model against it. Claude today, GPT next quarter, an open model after that. Your data layer does not change. Your agents do not break.

ii · YOU SET THE BOUNDARIES

Agents act only where you allow.

Every read, every write, every action is bounded by the permissions you approve into the map. Your data stays in your environment. Nothing is stored at Fibinaci.

iii · BARGAINING POWER

When prices rise, you move.

A model provider raises prices or deprecates a version. You switch. No months of rewrites and re-testing. Your leverage stays yours.

iv · FULL AUDIT

Every action recorded.

Every action by every agent is logged. You see what was read, what was changed, when, and by which agent, in real time. Pull the plug on any agent, any time.

§ 06 Pilot program Cohort 2026

90 days. A working agent in your business. No commitment.

A pilot is not a purchase. It is a proof. If your numbers do not move in 90 days, we should not be your vendor.

What you get
  • Twelve months of free access. No contract.
  • A working agent inside your business in 90 days.
  • Weekly access to the founders through the build.
  • Your use case shapes the roadmap.
  • First priority on every feature and integration.
  • Pilot recognition at public launch.
What we need
  • One technical champion for weekly syncs.
  • A real data environment to build against.
  • Honest feedback through the build.
  • A written case study after 90 days in production.

In 2024 you experimented. In 2025 you piloted. In 2026 your board wants AI on the P&L. The map is how it gets there.

Apply for a pilot → team@fibinaci.com