The platform

Your whole data operation, one conversation

Six tools and the ticket queue between them, replaced by one conversation: ask for the outcome and Kaarvi plans the work, does it, and checks it while you watch — spoken or typed. 176 skills, no specialists required.

Try it free Browse the 176 skills

From source to decision

RBAC · verify · meter — on every path through the center

Everything your sources produce flows through one governed agent — access-controlled, verified, metered — and out to dashboards and APIs that keep themselves current.

The work itself

Say the outcome. Kaarvi does the work.

Transform by talking

“Clean this dataset — profile it, fix what you find, then dedupe on order_id.”

Complex transformations, one sentence at a time

The cleanup that used to queue behind engineering happens in one thread: Kaarvi plans the pipeline, shows you every proposed change — the exact rows, before and after — and executes only on your yes. Pipelines run at engine scale, on a schedule or whenever the data changes, and saved work becomes a recipe anyone on the team can reuse.

previewed before every write
runs async at 4M×300 scale
reusable as recipes & templates

Living dashboards

“Build a quality dashboard for this dataset and keep it fresh.”

Dashboards that stay true after you stop looking

Built in conversation with the right charts for your domain — across one dataset or several, at the size you asked for: “ten widgets” builds ten — and never pads with filler to get there. Dressed in your own brand: hand Kaarvi a logo, a brand page or a look you like, and it drafts the theme, walks it through with you, and applies it on your yes — and a workspace logo, set once, wears through every shared view and export until you say “take our logo off this one.” Changing it is a sentence too — retitle a widget, relabel an axis, rewrite the header, in chat or with a click on the dashboard itself — and a layout your team loves saves as a template that new dashboards follow. So does a layout you’ve only seen: show Kaarvi a screenshot, a web page or a URL of a dashboard you admire and it reads the arrangement into a template — measured where it could measure, and labeled honestly where it had to infer — and the look rides along with the layout, so every dashboard built from that template wears the snapshot’s face, not just its arrangement. Any template can be dressed the same way — “dress the Board Pack template in the Forest theme” is a sentence, the Library gives it a click — and shed just as easily. Left a build half-finished? “Fill the rest” picks it up where it stopped, in the same dashboard and the same look — never a duplicate. Then end-to-end live sync keeps it true: when the source changes, the dashboard follows on its own. Nobody carries Friday’s numbers into Monday’s meeting.

built & edited by asking — one dataset or several
widget counts honored exactly — no filler
layouts reusable as templates
templates from a screenshot, page or URL you show it
templates carry the look — dress or shed it in a sentence or a click
“fill the rest” finishes a build in place, never a duplicate
round-trips as a portable JSON spec
brand themes drafted from a URL or image
workspace logo on shared views & exports
updates push live over SSE
version history with restore

Composable lenses

“Be my oil-and-gas legal advisor.”

Invoke a professional, composed for your industry

Name the expert you need and the whole thread becomes that professional: it asks what they would ask first, holds their thresholds, speaks their vocabulary — and watches your data the way they would — until you change or drop the lens. Lenses compose, and order matters: Legal × Oil & Gas is an energy lawyer; Oil & Gas × Legal is an operator’s in-house counsel. A lens conditions judgment, never access — it can never change what you’re permitted to see.

bound by asking, in one sentence
watches and proposes as that professional
never changes permissions or visibility
dropped as easily as it was worn

APIs & triggers

“Publish this pipeline as an API — and re-run it whenever the source changes.”

Share live data beyond your walls

Say it once and your data becomes a live feed that partners and other systems can rely on — secured, tracked and audited — without a months-long integration project. And when the source data moves, everything built on it moves with it: reports, feeds, dashboards, all current on their own.

live REST APIs — tokenized, cached, audited
refuses before the budget runs out
triggers fire on data change
scheduled digests, held for verification

The skills

15 families, one conversation

Pick a family to see how it’s asked for — and the artifact it hands back. The full catalog, skill by skill, lives at /skills.

Query in plain language

Ask questions of any dataset and get answers with charts — plain English in, verified SQL underneath for whoever asks where the number came from.

›Which districts had the highest failure rate last quarter?

›Plot monthly volume by region for 2025.

SELECT district, COUNT(*) FILTER (WHERE status = 'failed') AS failures
FROM inspections GROUP BY 1 ORDER BY failures DESC

How answers are made

Every answer shows its work

From your question to a verified answer, each turn leaves a receipt — the plan, the tool steps and the checks are all on the record.

Analysis completereceipt 9c41f2

Understanding your question
Plan — profile → 38 quality checks → verify
Executed in the engine — 4,182,940 rows, no sampling
Cross-family verification — confirmed

the plan, the steps and the checks — on the record, per turn

While you’re away

Not a chatbot. An operator.

New data, reviewed on arrival

Load a file and walk away: Kaarvi looks it over and posts “Kaarvi noticed…” findings on its own — the first-pass review your team stops doing by hand.

Standing orders

Delegate the recurring work — scheduled questions, watched metrics, reports that arrive verified or held with a note when they can’t be. Every order carries its own spend cap and quiet hours — and when a budget runs down, renewal goes through the same governed gate that granted it, never a silent charge.

The learning loop

“That’s not PII” is a correction Kaarvi records and learns from — classification recalibrates on your team’s feedback, at no cost, and keeps getting better.

Yours, findable, remembered

Your team’s memory, not a chat log

A Library of everything you make

Dashboards, datasets, conversations, recipes, connections, syncs, APIs — one searchable ledger, pinned favorites first, with save, publish and share on every row.

Every number can explain itself

Open anything you’ve built and see what it was made from and what depends on it — so “can I trust this number?” takes one click, not one meeting.

Find anything by asking

Search from anywhere — or just ask “where are my March dashboards?” and Kaarvi takes you straight there.

Conversations that remember

“What did we find yesterday?” brings back the work, the artifacts and the receipts — institutional memory that doesn’t leave when a laptop closes.

Voice, end to end

Speak the ask, hear the answer. Wake-word optional and strictly opt-in; degradation is honest — if speech fails, Kaarvi says so.

An estate that tends itself

Archive, pause or retire anything by asking — with a preview that states exactly what goes. And Kaarvi senses what has gone dormant — the unused theme, the report nobody opens — and proposes the cleanup itself; nothing is removed without your yes.

Under the hood

Agentic, and accountable for it

Observable by design

Every agent turn streams step by step as it executes — so when someone asks how an answer was made, you can show them, not reassure them.

Preview → confirm for anything that mutates

Every skill that changes data produces a concrete preview — the exact rows, violations or costs — and holds for your confirmation. Nothing changes behind your back.

Tenant isolation on every path

A central organization-scope gate stands before every agent turn, with role-based access, column masking and audit logging beneath it — designed so one tenant’s data stays out of another’s answers.

Pushdown, not sampling

Profiling, anomaly detection and forecasting compute in the engine over all rows — millions of rows, hundreds of columns — because the record that costs you money is exactly the one a sample misses.

Resilient model layer

A provider fallback chain with circuit breakers sits behind every AI step, and model output is validated before anything acts on it — a model outage degrades gracefully instead of stopping your morning. Your conversation always goes first: background digestion never makes a person wait.

Hardened code sandbox

Generated analysis code executes in a locked-down subprocess sandbox with resource limits — never in your infrastructure directly.

Bring your own skills

The tools your team already runs become Kaarvi skills: register an MCP server and its tools inherit the same access control, metering and preview→confirm as the built-ins.

Reaches your data where it lives

Cloud warehouses, databases, files and APIs — plus an outbound-only Edge Agent for sources that can’t be exposed.

Enterprise identity

Single sign-on (OIDC) with enforced-SSO domains, admin console, audit logs, org spend limits.

See it on your data — start free