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Financial & Corporate Intelligence

Intelligence for Decisions That Matter.

Sanclarity AI builds AI systems for financial intelligence, corporate intelligence, research and forensic analysis.

Explore the Platform
Evidence
Every claim cited to source
Coverage
Filings, registries, market data
Built for
Investment & strategy teams
How Sanclarity reasons Product architecture
01 Data Filings, registries, transcripts, market and open-source material.
02 Context Entities, subsidiaries, counterparties and relationships resolved.
03 Reasoning Financial relationships read against each other, not summarised.
04 Evidence Every claim keeps the disclosure it was read from.
05 Intelligence Structured output an analyst can review and challenge.
06 Decision Judgement stays with the analyst. The assembly does not.
Not just generate — reason. Not just answer — evidence.
Intelligence Session

See how Sanclarity turns scattered information into a decision-ready conclusion.

Illustrative workflow · interface preview
The question

Is the headline growth telling the full story?

A session opens with a question a decision depends on, not a keyword. Sanclarity reads it as a financial question and works out what would have to be true for the headline to hold.

Reported growth Cash generation Segment mix Working capital
What the numbers did Indexed · illustrative
Reported growth Cash conversion
Evidence used

An illustrative session showing the shape of the workflow. It is an interface preview, not a live analysis of a named company.

Forensic intelligence

See the investigation behind the conclusion.

From corporate structures and transaction flows to ownership networks and operational signals, Sanclarity connects the evidence before producing the conclusion.

Solvara Investigation Film Source-derived research workflow Research demonstration based on forensic source material.
01
Trace

Follow the structure: entities, subsidiaries, holdings and the people behind them.

02
Connect

Link transactions, counterparties and operational activity into one picture.

03
Reason

Weigh competing explanations before settling on one.

04
Conclude

State the finding with the underlying evidence still attached.

Inside the platform

Company intelligence workspace.

Two anonymized subjects, built from forensic source material. Six views, one evidence layer.

Source-derived case · interface preview
Research subject
Anonymized research subject
Atlas Power Systems
Unlisted public company · Power technology, EPC services, infrastructure projects
India · six countries, seven operating subsidiaries
Risk profile
Elevated
Qualitative — no invented score
Research corpus
35 pages
Forensic report
Analysed transaction flow
₹724.42 Cr
FY2024, inter-company
Procurement transaction
₹708.34 Cr
Plant & machinery
Operating subsidiaries
7
Six jurisdictions
Evidence categories
8
Source-derived
Risk profile
Elevated
Qualitative — report bands
Entity profile
Entity type Unlisted public company (DRHP filing status) · p. 2
Business segments Power technology, EPC services, infrastructure · p. 2
Geographic footprint 6 countries, 7 operating subsidiaries · p. 2
Holding structure Singapore holding company · p. 2
Research period Analysis date December 2025 · p. 1
Disclosed litigation ₹12.63 Cr aggregate (₹9.83 Cr company, ₹2.80 Cr promoter) · p. 4
Why this matters

The individual gaps are large, but the reason they matter together is structural: a cross-border holding chain, an inter-company procurement that nets to nothing in consolidation, and related-party liabilities that account for almost all disclosed borrowing. Each is explainable alone. The report's position is that the combination is not.

Key finding

Disclosed promoter wealth, property values and inter-company flows diverge materially from the figures the report reconstructs.

Major developments
FY2014 Report records acquisition of an Indian EPC entity's licences, operations, trademarks and patents from a global power group — structured without equity transfer.
FY2024 ₹708.34 Cr plant-and-machinery procurement from a wholly owned subsidiary for a battery energy storage project.
FY2024 ₹724.42 Cr inter-company offset recorded; consolidated recognition eliminated.
Sep 2024 Dissociation from a past operational entity completed; reasons undisclosed in the source document.
Dec 2025 Forensic investigation report compiled.
Evidence supporting this view
AI intelligence brief

Forensic analysis indicates a cross-border structure — an Indian parent, a Singapore holding company and seven operating subsidiaries across East Africa and Southeast Asia — carrying an FY2024 inter-company flow of ₹724.42 crore that is eliminated in consolidation. The report identifies a ₹708.34 crore plant-and-machinery procurement from a wholly owned subsidiary, related-party liabilities at 94.3% of disclosed personal borrowings, and a reconstructed immovable-property value of ₹617.98 crore against ₹69.45 crore officially disclosed. These are reported findings from an investigative document, not established legal conclusions.

Research corpus

Forensic Investigation Report — Financial Due Diligence & Cross-Border Fund Rerouting Analysis

35 pages · Analysis date December 2025

Subject as described in source: Indian unlisted public company · power technology, EPC, infrastructure

Figures and findings shown in this research interface are derived from the attached forensic research corpus and are presented for analytical demonstration. They should not be interpreted as independent verification or legal findings.

Capital Markets & Valuation

Translate operating performance into an intrinsic and market-based view of value.

Valuation workflow preview
Sanclarity DCF Film Valuation workflow preview · not a live calculation engine
Why this is different

Built for financial reasoning — not financial autocomplete.

Most finance AI can explain a DCF. Sanclarity is being built to reason through one.

Model-aware reasoning

Designed around financial relationships, valuation mechanics and analytical context rather than generating text from retrieved documents.

Evidence stays attached

The analytical output is designed to retain the source context behind the conclusion.

Financial logic across the workflow

Statements → operating drivers → assumptions → valuation → scenario analysis → conclusion.

Designed to reduce analyst rework

The objective is decision-ready output that requires substantially less manual reconstruction — not a first draft an analyst has to rebuild.

Finsight is being developed to take this further. Benchmark performance will be validated as the model is released. Analysts remain in control of review, judgment and approval.

Coming soon

Finsight Model by Sanclarity is coming soon.

Finsight is being developed around financial reasoning, valuation context and evidence-linked analysis — rather than treating finance as a text-generation problem.

Sanclarity is building toward a finance-native reasoning benchmark. Benchmark performance will be validated as the Finsight model is released.

Finsight In development
Purpose
Financial reasoning over structured evidence
Design intent
Forensic analysis and decision-grade research
Availability
Not available — no release date announced

See Sanclarity on a company you know.

Bring a filing set, a target, or a portfolio. We will run it through the platform with you and show the evidence chain behind every conclusion.

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