The platforms that genuinely solve this assume an eight-figure budget and an implementation team. No Indian private-investigation firm, KYC desk or district cyber cell can buy one — so they fall back to free lookups, browser tabs and spreadsheets.
Investigation intelligence · Built in India
Think like an investigator.
At machine speed.
We build Agent 47. You give it one detail about a person — a phone number, a wallet address, a face, a document — and it works out the rest, then hands back a dossier with a source behind every line.
01 The problem
The good software was never priced for India.
So a cybercrime case still gets worked with a browser, a notebook and a spreadsheet.
0
cybercrime complaints filed in India in 2025
NCRP / I4C
0
reported losses to cyber fraud, 2025
Ministry of Home Affairs
0
dedicated cyber police stations for all of it
BPR&D / MHA, 2025
Mapping one organisation's digital footprint by hand takes 40–60 analyst hours. In compliance the arithmetic is worse: the overwhelming majority of AML and sanctions alerts are false positives, and every one of them is cleared by a person, by hand.
The current wave of AI investigation tools will report a sanctions check as clear when the check never ran, and cite sources that do not exist. In a background check or a bail hearing, a confident wrong answer is a liability, not a shortcut.
Every case starts from zero. The same mule account, the same fake identity, the same shell director appears across fifty separate matters in fifty separate firms — and nobody sees the pattern, because no product is built to remember across cases.
Sources: Ministry of Home Affairs / I4C — NCRP annual figures 2025 · BPR&D infrastructure data, 2025 · published industry AML false-positive benchmarks, 2025–26.
02 What we build
One product, built properly.
Agent 47 belongs on every investigator's desk in India.
Agent 47 is an autonomous investigation platform. It takes a single seed — a name, a phone number, an email, a username, a face, a crypto wallet, a company or a document — and works out the rest on its own: planning the investigation, collecting across sources, validating what comes back, resolving identities, reasoning over the result, and stopping when the next action is no longer worth its cost.
What comes out is one evidence store, projected into a client report, an internal memo, or a court evidence pack with statutory references, PII masking and compliant access logs. Every sentence in it is bound to a stored artefact. Uncited claims are stripped before the report is written — they cannot survive to the page.
01
It investigates, rather than searching
A tool-calling agent that forms competing hypotheses, tests them, notices its own blind spots on a scheduled skeptic pass, and stops on its own judgement. Not a fixed script, and not a chat window.
02
The analyst stays in charge
The investigation is drawn as a plan — objectives, phases, decision branches, evidence rules. The agent reads that plan on every turn and must either follow it or formally log a deviation.
03
Web intelligence and file forensics, one box
Two separate industries with separate tools. Here they run into the same evidence graph — so a document's contents and its provenance are part of the same case, not two reports someone has to reconcile.
0
intelligence disciplines
0
active collectors
0
curated sources in the deep-dive catalog
0
sandboxed forensic engines
03 Why it holds
Three things that are architecture, not features.
Which is why they would take years to copy.
01 — It cannot lie about what it checked
Every source returns one of exactly three states.
A real result. A checked-and-genuinely-empty result. Or unavailable — blocked by a sign-in wall, a bot challenge, a rate limit, a paywall. There is no fourth state, so a check that failed or never ran can never be rendered as clear.
A blocked source is explicitly not evidence of absence. That distinction is enforced in the architecture, not promised in a policy document — which is the only version of it that survives contact with a deadline.
sanctions · watchlists
Result
corporate registry
Result
breach corpus
Checked — empty
social platform
Blocked — sign-in wall
chain analysis
Result
court records
Checked — empty
any source
Clear — never ran
There is no fourth state.
02 — It remembers across cases
Fifty matters, fifty firms, one account.
A mule account or a shell director appears across dozens of unrelated matters. Agent 47 pools evidence across every case a firm holds, and surfaces the shared node that no single case could ever see.
It compounds in one direction only: every case a customer runs makes the next one shorter. That is also why the product gets harder to leave the longer it is used — the graph is theirs, and it is worth more every month.
03 — Forensics lives in the same box
One evidence spine, from the first artefact to the final page.
Every raw artefact is hashed into a custody chain the moment it lands. Certified forensic engines — hashing, metadata, error-level analysis, steganography, carving, OCR — run inside hardened sandboxed cells and write into the same graph as the web evidence.
An analyst can retract a wrong entity without deleting the evidence behind it, because the record of what was collected and the conclusion drawn from it are two different things.
If information cannot be verified, it is not presented as a fact.
04 Where this goes
The same engine, pushed deeper into the same problem.
On top of code that already runs.
Investigations
Police · investigation firms · KYC desks
One seed to a sourced, court-usable dossier. This is the product in the field today, and where the first revenue comes from.
Tuned editions
Banks · law firms · state agencies
Perpetual monitoring, mule-ring detection and ownership unwind for compliance. Document review and contradiction detection for legal. An air-gapped build for central agencies. Same engine, different defaults.
Pointed inward
Public figures · founders · executives
The same collection engine aimed at a consenting subject rather than an adversary: everything published about a person, impersonation accounts and deepfakes flagged as they spread, takedowns driven from one place.
Prevention
Governments · banks · citizens
Everything learned from investigating fraud, turned back on preventing it — criminals tracked across jurisdictions, identity fraud caught at onboarding, citizens warned before a scam lands rather than after.
None of this is a second codebase.
05 Traction
Where Agent 47 is running today.
A signed letter of interest from a police force, and firms running live trials.
01
Nashik Rural Cyber Police
Signed · Active A signed Expression of Interest with the Cyber Police Station, Nashik Rural, Maharashtra, dated April 2026. Under active evaluation, with officers already asking for expanded capability. This is the reference that opens every other state conversation.
Signed · Active A signed Expression of Interest with the Cyber Police Station, Nashik Rural, Maharashtra, dated April 2026. Under active evaluation, with officers already asking for expanded capability. This is the reference that opens every other state conversation.
02
Private investigation & background-check firms
In onboarding Commercial firms signed up for non-binding trials of Agent 47 — the segment we intend to monetise first, and the accounts that convert into paid subscriptions.
In onboarding Commercial firms signed up for non-binding trials of Agent 47 — the segment we intend to monetise first, and the accounts that convert into paid subscriptions.
03
Pipeline across further jurisdictions
In progress Additional state and district units are in formal engagement, including the account closest to a paying government contract.
In progress Additional state and district units are in formal engagement, including the account closest to a paying government contract.
We express our interest in actively collaborating with CrypsisX to further evaluate and potentially integrate Agent 47 into our investigative workflow.
Operational outcome
< 30 minutes
to a full intelligence report in active pilots, against the 90–240 days a manual investigation typically takes across fragmented systems. The legal paperwork still sits with the officer — but the intelligence bottleneck is gone.
06 Company
Why this company exists.
Three people in my own family were scammed — my father, my uncle, my grandmother. Three frauds, three complaints, nothing came back. When I looked for the software that was supposed to fix this, I found two kinds: platforms built for nation-states that cost more than an Indian firm earns in a decade, and free tools that leave an officer working by hand. So I started building the third kind.
01
Priced for the work, not the buyer
The volume of this work happens in district stations and small firms, not in nation-state budgets. A product they cannot buy is not a solution to their problem. Pricing follows case load — never what the software is permitted to tell you.
02
Original research, written down
The platform sits on a body of internal research covering identity resolution, evidence verification, graph attribution and calibrated reasoning. Written, unfiled and patentable — patent counsel is engaged.
03
Built in India, for Indian process
Statutory references under BNS and BSA 2023, PII masking and DPDP-compliant access logs are not a localisation layer bolted on afterwards. They are how the output is constructed.
04
Honest about limits
The platform states plainly what it could not check and what it does not know. A product whose central claim is that it cannot lie has to hold that standard against itself first.
Incorporated in India as CrypsisX Cyber Technologies Private Limited. Further partner and pipeline detail is shared under NDA.
07 Contact
Tell us what you actually investigate.
We will show you what that looks like on Agent 47.