InVocIQNatural-language BI: Ask it the way you'd ask an analyst. Get the answer, cited.
A voice and chat layer over the BI stack you already own — a cited, persona-based answer in seconds, in any language, drawn from live governed data rather than a stale extract.
A 30-minute working session, then a proof of concept on your own data — both at no cost. A specialist responds within one business day.
- 50%+ by 2026
- Of enterprise analytics queries will be natural language or voice, per Gartner
- Seconds, not days
- Ask-to-answer collapsed from an analyst queue to real time
- No punitive licensing
- One reusable layer over your BI stack, built to extend
Industries
BFSI & fintech · Retail & D2C · Manufacturing · Media & OTT · Healthcare
Works with
Your BI stack · Semantic layer · Text-to-SQL · RBAC & lineage
Built for
CXOs & business heads · CFOs & finance teams · Sales & operations leaders · Heads of data & analytics
Dashboards answer yesterday's question. The analyst queue answers late.
Approach A
Canned dashboards
Pre-built reports answer yesterday's questions. Anything outside the template means a new build request.
Approach B
Analyst / BI queue
A request, a SQL query, a chart, a day later. The right answer, at the wrong speed.
humaineeti
Voice-driven IQ
Speaks your question straight into the governed semantic layer. A cited, persona-based answer in seconds, in any language, by voice or chat.
How it runs
Each stage, and what it hands to the next.
- 01
Ask
“Which suppliers are failing OTIF?” — by voice or chat, in any language.
- 02
Understand
Intent and follow-ups, held in context.
- 03
Query
Governed text-to-SQL against live data.
- 04
Answer
A cited, persona-based report, in seconds.
At a glance
Side by side, on the things that decide it.
Swipe the table to compare
| Canned dashboards | Analyst / BI queue | InVocIQ | |
|---|---|---|---|
| Answers any ad-hoc question, not just the template | No | Yes | Yes |
| No SQL or BI-tool literacy required to ask | Yes | No | Yes |
| Grounded in live governed data, every time | No | Yes | Yes |
| Voice or chat, in any language, always on | No | No | Yes |
| Answer in seconds, not a day later | Yes | No | Yes |
| One reusable layer, no per-seat punitive licensing | No | No | Yes |
If the right-hand column is what you need, prove it on your own data at no cost.
Inside the product
What it actually runs.
Ask to answer, in seconds
Swipe the diagram
One reusable layer over your BI stack
Swipe the diagram
Included free · Demo + PoC
Wire it to one dataset — ask it your own questions.
One dataset or semantic model · no cost
How it runs
- We connect InVocIQ to one governed dataset or semantic model
- You and your team ask the questions you actually ask your analysts
- You compare answer, citation and speed against your current route
What you provide
- Read access to one dataset or semantic model
- A handful of real questions your analysts get asked
- One business user and one data owner for a short session
What you get back
- A live voice and chat interface over that dataset
- Cited, persona-based answers to your own questions
- An honest read on coverage and where governance gaps sit
The demo and the PoC come together, at no cost. You keep the findings whether or not you go ahead — no licence, no commitment, no procurement paperwork to start.
Before you ask us
Where it runs, what it touches, what it costs.
- Where does it run?
- As a layer over the BI stack you already own, inside your environment. It queries your governed semantic layer; it does not copy your warehouse.
- What can it change without us?
- Nothing. It reads and answers. Your existing RBAC applies to every question, so a user can only be told what they were already permitted to see.
- Is our data used to train models?
- No. Questions and results answer you and nothing else.
- What does it cost after the first dataset?
- The first dataset is free. Production is one reusable layer, deliberately not licensed per seat — so you can put it in front of everyone.
Do we have to replace our BI stack?
No. InVocIQ is a layer over the stack you already own, speaking into your governed semantic layer. Nothing gets ripped out.
How do we trust an AI-generated answer?
Every answer is cited and grounded in live governed data — you can see what it was computed from. It does not free-associate over an unmanaged warehouse.
Which languages does it support?
Voice or chat in any language, which is usually the difference between analytics reaching head office and analytics reaching the plant, branch or field team.
Is licensing per seat?
No. It is one reusable layer rather than punitive per-seat licensing, which is what makes it viable to give everyone access rather than only the analyst queue.
InVocIQ
Ask your own data, out loud.
How it works and about humaineeti
How it works
One free engagement. Then production.
01Free
The demo
30 minutes on your use case, with the product open.
02Free
The proof of concept
Scoped to your own data. The findings are yours either way.
03
Production, governed
Approval gates, audit trails and data residency, in your environment.
About humaineeti
Agentic, but accountable.
humaineeti — human + AI + neeti — engineers agentic AI for the enterprise from Mumbai and Kolkata. Ten solutions, and custom builds held to the same standard.
- Evidence, not assertion
- A human on the gate
- Your cloud, your data
- Auditable by design