neesh Inc.

PRODUCT_01 ASKBASE AVAILABLE_NOW

Ask a question. Get an answer you can check.

AskBase answers from the documents your team already has, in Slack or in the app, with numbered citations you can open. Access is filtered inside the query, so two people asking the same question get answers built only from what each of them is allowed to see.

AskBase answering, and declining to guess A console showing two exchanges. The first question is answered and cited from three sources the asker is permitted to see, with two further matches filtered out by permission. The second question uses an ambiguous business term, so AskBase refuses it at a confidence of 0.42 against its 0.55 floor, says "Not sure, please confirm", and lists what it searched. QUERY_01 ANSWERED Which client MSAs auto-renew before 31 March? Four agreements auto-renew before 31 March. Two of them need 60 days’ notice to stop. That window closes 30 January. MSA_Thornfield.pdf §7.2 · renewal & notice renewals-2026.xlsx rows 11–14 #legal-ops 14 Feb · thread CITED FROM 3 SOURCES · 2 MORE MATCHED, FILTERED OUT BY PERMISSION QUERY_02 REFUSED How many active clients do we have? Not sure, please confirm. CONFIDENCE 0.42 · FLOOR 0.55 “Active” resolves three ways here: billing status, last engagement, or an open matter. SEARCHED · crm.accounts · billing.subscriptions · 4 policy documents
AskBase answering, and declining to guess A console showing two exchanges. The first question is answered and cited from three sources the asker is permitted to see, with two further matches filtered out by permission. The second question uses an ambiguous business term, so AskBase refuses it at a confidence of 0.42 against its 0.55 floor, says "Not sure, please confirm", and lists what it searched. QUERY_01 ANSWERED Which client MSAs auto-renew before 31 March? Four agreements auto-renew before 31 March. Two of them need 60 days’ notice to stop. That window closes 30 January. MSA_Thornfield.pdf §7.2 · renewal & notice renewals-2026.xlsx rows 11–14 #legal-ops 14 Feb · thread CITED FROM 3 SOURCES 2 MORE MATCHED, FILTERED OUT BY PERMISSION QUERY_02 REFUSED How many active clients do we have? Not sure, please confirm. CONFIDENCE 0.42 · FLOOR 0.55 “Active” resolves three ways here: billing status, last engagement, or an open matter. SEARCHED · crm.accounts billing.subscriptions · 4 policy documents
READS QUERY_02 is the text-to-SQL engine (the capability marked in build below), and the 0.55 refusal floor is its own. The permission-filtered count is how every answer reports itself. The two questions are illustrative.
CAPABILITY_SET

What it does, and where each part stands

  1. Cited answers shipped

    One answer, with numbered markers that resolve to real documents and a footer saying where it looked. Not a list of links to read yourself.

  2. Permission-aware retrieval shipped

    Access is filtered in the SQL join against your existing groups, never in Python after the fact, and every answer reports how many matches your permissions removed.

  3. Fabricated citations stripped shipped

    A deterministic pass remaps every citation marker to a real source and deletes any that points nowhere. An invented reference cannot reach the screen.

  4. Four honest statuses shipped

    Answered, nothing relevant found, knowledge base empty, permission denied. Four separate paths with four different screens. A refusal is never dressed up as an answer.

  5. Schema curation shipped

    A curator accepts, edits or rejects the proposed column descriptions, PII flags, synonyms and metric definitions. Every commit is audit-logged. This is the work that makes the answers right.

  6. Text-to-SQL over your database in build

    Questions answered from a live read-only database. The connector and planner run against a real Postgres in our test tier; it stays off per organization until it is proven against your schema.

RECOGNISE_IT_IF

This is probably you

  • Two or three people answer the same questions every week, and everyone knows exactly who they are.
  • The answer exists (in Confluence, in Drive, in a thread from 2023), and nobody can find it.
  • A new hire’s first month is mostly interrupting other people.
  • Not everyone can see everything, so a single shared search index was never an option.
EXAMPLE_CONFIGURATIONS

Shapes it has been configured into

Wrappers of the same engine, not separate products. Where a line carries a figure, the figure is a design target from the scenario named beside it, not a customer result.

  • DATA QUESTIONS Drop in your invoice spreadsheet. Ask what you spent on shipping last quarter. The total is computed, not guessed.
  • ONBOARDING New hires find their own answers instead of interrupting the person who knows.
  • POLICY DESK Legal questions answered at 2am. With citations.
PROOF

Two numbers we measured. Two we are aiming at.

Measured figures name the run that produced them and come from a review packet in the product’s own repository. Design targets name the scenario they belong to. There is no third kind of number on this page.

MEASURED 4,894 backend unit tests green (six skipped, none failed) the AskBase build, 27 Sep 2026
MEASURED 0 type errors across 466 source files under mypy strict the AskBase build, 27 Sep 2026
DESIGN TARGET 73% fewer knowledge interruptions knowledge-retrieval scenario
DESIGN TARGET < 10s from question to cited answer in Slack knowledge-retrieval scenario
PRICING

What it costs

$499/mo + $40 per seat

Fixed base, per-seat on top, and metered usage above the included quotas. Set 27 Apr 2026 and unchanged since. Configuration for your use case is quoted separately after the assessment.

THE_HONEST_LINE

What we will not claim

It refuses, and it says what it searched. Over your documents there are four separate statuses (answered, nothing relevant found, knowledge base empty, permission denied), and a miss reports how many documents it looked through instead of returning a plausible guess. An answer it does return is graded high, medium or low; it is never silently withheld. The 0.55 refusal floor is the text-to-SQL engine’s, and text-to-SQL is off by default on every organization until it is proven against your schema. We have no published accuracy number yet: the golden-pair harness exists, the scored runs do not.

Thirty minutes tells you whether AskBase fits.

A fixed agenda, a one-page map back within two business days, and no pitch. If AskBase is the wrong tool for your problem, that is what the map will say.

Book Free Assessment

All four instruments The knowledge-retrieval scenario