Dashboards tell you what already broke. Nebbos tells you what's about to.
Your tools already emit the early signs of how your company really runs. Nebbos reads that signal as it happens — the stalled handoff, the slipping deadline, the capacity crunch forming three teams away — and puts the fix in front of you while you can still use it.
Every organisation runs on five questions: what's happening, what's about to go wrong, why, what to do, and what it just learned. Nebbos answers them in order — each built on the one beneath it — and shows its work as it goes.
Q1 — Signal
What's happening right now.
Connect the tools your teams already use. Nebbos turns the daily exhaust of work into one clean, normalised stream of operational events. No rip-and-replace.
Q2 — Prediction
What's about to go wrong.
Deterministic pattern detection runs first — deadline risk, capacity crunch, stalled handoffs, cascade risk. Only when a pattern fires does Nebbos reason about it. Cheap to watch, sharp when it counts.
Q3 — Explanation
Why it's going wrong.
A dedicated agent for each department works through the signal and tells you the cause in plain language, with the evidence attached. You see the reasoning, not just a red flag.
Q4 — Action
What to do about it.
Nebbos can act — but the riskier moves are rehearsed in a sandbox first, then passed to a human checkpoint. Autonomy is earned, bounded to what's been proven, and always reversible.
Q5 — Knowledge
What you've learned.
Everything observed and resolved compounds into your Operational Graph — a living record of how your organisation actually runs, richer every week it's on.
Who it's for
Everyone in the company needs something different.
One signal, read five ways. The same Operational Graph answers the question each person is actually asking.
Operations / COO
Stop finding out on Friday.
The stalled handoff and the slipping deadline surface while you can still move on them — not in next week's post-mortem.
Engineering / CTO
Six checks before one token.
Model-agnostic by design. Deterministic detection runs first; it works with any LLM, locked to none — over a dashboard and an MCP interface.
Finance / CFO
Worth more next year.
Predictable cost on top of whatever model you run, and the rare tool that compounds instead of depreciating.
Risk / Legal
It never acts alone.
Five enforcement layers, every decision sourced, built to the EU AI Act's high-risk bar — not retrofitted to it.
Department leads
A colleague who did the homework.
Pearl arrives caught up and asks why the date moved — never how you feel. One agent per team.
The whole company
One source of operational truth.
Everyone acting on the same live read of how the work is actually moving — not five conflicting dashboards.
The agent
Meet Pearl — one per department.
Pearl watches a single department's signal, surfaces only what's worth your attention, and asks at most a couple of sharp questions when it genuinely can't explain something. It never asks how you feel — it asks about the one data point it can't account for, then learns from your answer.
The Riverside handoff has waited 51 hours — past your 48-hour threshold. A downstream team's Friday commitment now can't be met. I can flag both leads and propose a revised date.
You
Approve — and tell me which other commitments depend on that one.
Approved · logged to your Operational Graph
Engineering
Velocity & risk
Watches velocity drops, stalled reviews and cascade risk across delivery.
Sales
Pipeline signal
Spots slipping commitments and capacity crunch before the quarter does.
Operations
Handoff health
Catches cross-team handoffs going cold past their threshold.
HR
Coverage gaps
Flags unaccounted absence and coverage risk — to the lead, never the person.
Getting started
Live in days, not quarters.
Nebbos reads from the stack you already run. Nothing for your teams to adopt, no new place for them to log work.
01
Connect
Link existing tools through secure connectors. Nebbos reads events — never replaces the systems they live in.
02
Observe
Your Operational Graph builds itself from day-one data, learning how work really moves.
03
Predict
As soon as there's enough signal, your first Pearl surfaces what's about to go wrong — with reasoning attached.
04
Act
You approve, edit or decline. Every decision and its rationale is recorded — and the system sharpens.
Built for the cost of AI
It thinks before it spends.
Six deterministic detectors run before any model call — most checks never cost a token. When one fires, governance-tiered routing sends it to the right model at the right price. It works across any LLM or provider, so you're never locked to one vendor's bill.
Placeholder — measured compression rate, workload and baseline to be supplied from engineering. Bar is illustrative until the live figure lands.
Oversight & governance
Five layers stand between an idea and a change to your data.
A system that watches how people work is high-risk under the EU AI Act. Nebbos answers that with architecture, not a PDF: a human approval gate, every decision sourced, tenant isolation at the database, and governance tiers that decide what's even allowed to change anything.
Human approval gate5 enforcement layersEvery decision sourcedTenant isolation · RLSBuilt to EU AI Act high-risk
Software that's worth more the longer you keep it.
Most tools peak the day you buy them. Nebbos's compound: every prediction, every resolution, every correction feeds back in — so the system you run at month 24 has been shaped entirely around how your organisation works. A competitor can quote against the month-one product. They can't quote against yours.
See what your operations are about to do.
Log in to pick up where you left off, or request access and we'll get your first Pearl watching your data.