Bharat's first full-spectrum AI

Intelligence,
fully spread

From the name

One question opens a full spectrum of intelligence.

Kalapi — the peacock — carries a hundred eyes across its tail. In the same way, one question here unfolds into every perspective that matters: policy, economics, markets, technology, society, geography, law and more. The result is not a longer answer; it is a more complete picture.

  1. 01

    One question

    You ask what you actually need to know.

  2. 02

    Lens expansion

    Kalapi chooses the perspectives that materially change the answer.

  3. 03

    Evidence gathering

    Primary sources, official records and live data are ranked by authority.

  4. 04

    Contradiction + blind-spot check

    Conflicts are surfaced, not smoothed over. Unknowns are named.

  5. 05

    Synthesis

    A single, coherent intelligence picture with confidence clearly shown.

Kalapi intelligence · illustrative brief

Sources checked · 34Lenses · 7Moderate confidence

01 — Core intelligence

The decision turns on anchor-customer volume commitments and incentive disbursement timing — not on land, power or headline subsidy percentages.

Two credible source families disagree on time-to-production, and four material facts cannot currently be established from public record. Both are shown below rather than resolved away.

02 — Key signals

  • Capital intensityLower than fabrication
  • Dominant variableAnchor volume
  • Time to productionSources disagree

03 — The open tail

One centre. Only the lenses this question needs.

The tail is information architecture, not decoration: a central finding, the perspectives that materially change it, and the evidence behind each one.

Illustrative brief for: “Should we build a semiconductor assembly and test unit in Gujarat?

Policy

Moderate confidence

Central and state incentive structures are the single largest variable in the unit economics.

  • Capital-support schemes and state-level packages can stack, but eligibility windows and disbursement timelines differ.
  • Incentive claims are typically milestone-linked, so cash-flow modelling matters more than headline percentages.
Evidence base
Ministry notifications · state industrial policy documents
Good evidence, some limitations

04 — Contradictions

Realistic time-to-production

Scheme documentation

Roughly two years from approval to production.

Comparable project disclosures

Three to four years is the observed range.

Why they may differ
The first measures from approval; the second measures from land acquisition and includes customer qualification.
Current assessment
Plan against the longer range and treat the shorter figure as a best case tied to a ready site.

05 — Blind spots

What cannot currently be established

  • Anchor-customer volume commitments are not public for most comparable projects.
  • District-level power reliability data is inconsistently published and often outdated.
  • Actual disbursement timelines for incentive milestones are rarely disclosed.
  • Skilled-technician supply is estimated from enrolment data, not from placement outcomes.

Kalapi never presents research as complete while material uncertainty remains.

The method

Not a longer answer. A more complete one.

Kalapi is an intelligence instrument, not a chatbot. Every element below exists to make the picture whole, not larger.

  1. Ask
  2. Expand
  3. Research
  4. Cross-check
  5. Connect
  6. Challenge
  7. Synthesise
  8. Reveal blind spots
  9. Display the whole picture
  10. Watch for change
01

Dynamic lenses

Kalapi decides which perspectives matter for this question — no fixed template, no analysis for its own sake.

02

Evidence hierarchy

Primary and official sources rank above commentary. Every claim carries a state: verified, supported, mixed, uncertain or unverified.

03

Contradiction engine

When credible sources disagree, both claims stay on the page with a reasoned assessment — never a silent pick.

04

Blind-spot engine

Missing records, stale data and untestable assumptions are named, so completeness is never implied.

05

Document intelligence

Upload filings, contracts, reports and scans. Kalapi compares them against each other and against outside sources.

06

Research workspaces

Every investigation persists: scope, sources, lenses, findings, entities, timeline and saved conclusions.

The distinction

Most AI answers. Kalapi shows the surface.

Kalapi provides research, evidence, options, scenarios and implications. It does not claim authority over your decision — for legal, medical, financial or regulatory matters it points to the authoritative source and to where professional review is warranted.

General AI

Answers the question.

Search AI

Finds information.

Deep research AI

Produces a report on the topic.

Agentic AI

Plans and executes tasks.

Kalapi

Expands the question into the complete intelligence surface.

Anatomy of a Kalapi brief

01

Core intelligence

What is happening, why it matters, what changed.

02

Key signals

The evidence that actually moves the conclusion.

03

Intelligence lenses

Only the perspectives this question materially needs.

04

Contradictions

Where credible sources disagree, and why they might.

05

Blind spots

What cannot currently be established.

06

Second-order effects

Downstream consequences, labelled as projection.

07

Scenarios

Base, upside and downside where appropriate.

08

What changed

Revisions since the last time you looked.

09

Sources

Primary first, with recency and authority carried through.

Research workspace

Investigations that survive the tab closing

Question, scope, sources, documents, lenses, findings, contradictions, blind spots, timeline, entities, notes and saved conclusions — held together and returnable to months later.

SourcesDocumentsEntitiesTimelineFindingsNotes

Continuous vigilance

You are told when the picture changes. Not when news breaks.

Significant change

A new incentive notification changes the economics of domestic assembly and test.

  • Policy lens · changed
  • Economic lens · changed
  • Geopolitics lens · mildly affected
  • Previous conclusion 02 · requires revision

India depth

Rooted in Bharat. Credible globally.

Kalapi reads Indian institutions, records and languages with unusual depth — and compares them against global sources whenever the question demands it. No India angle is forced where it is irrelevant.

Government, regulators and institutions
Central and state schemes
Company filings and disclosures
Public datasets and statistics
State, district and city context
Indian languages and sources

See every angle

Don't just tell me what is known. Show me what matters, what conflicts, what is missing, and what could happen next.