/phone-lookup /email-pivot /social-graph /profile
SMINT PLATFORM

Grosint SMINT

Identifier to Intelligence. Instantly.
Drop a mobile number or email — get a full digital intelligence profile, on-premise.

Phone Lookup Email Pivot Social Graph Breach Intel Identity Verification Air-Gap Ready
50+ Platforms Queried
<3s Lookup Speed
Comprehensive Multi-Source Profile
1 Machine Deployment
0 Cloud Dependencies
100% Source Attribution

Every Source. One Profile.

One identifier triggers parallel queries across telecom, social media, financial, identity, breach, and email databases — all converging into a single intelligence profile in under 3 seconds.

SOURCE 01

📱 Telecom Intelligence

HLR lookups, caller ID services, carrier verification, number portability history. Real-time operator data from the telecom backbone.

SOURCE 02

💬 Social Media

Service enumeration across 50+ platforms — messaging apps, social networks, VoIP services. Profile photos, display names, online status.

SOURCE 03

₹ Financial & Identity

Authorized KYC verification APIs — UPI, PAN, bank account cross-reference. Identity document linkage through government-approved services.

SOURCE 04

🔓 Breach & Email Intel

Breach exposure monitoring, email profile extraction, service enumeration, alias discovery. Digital footprints invisible to traditional tools.

Every Identifier. Every Platform.

One identifier in, comprehensive intelligence out. Grosint queries across telecom, social, identity, breach, email, and regional databases simultaneously.

TELECOM INTELLIGENCE
HLR Lookup Operator Data Caller ID Services Carrier Verification Number Portability

HLR queries reveal carrier, activation circle, and roaming status. Caller identification services return registered names, profile photos, and tags. Carrier verification confirms number validity and portability history.

SOCIAL MEDIA
Messaging Apps Social Networks VoIP Platforms Service Registrations 50+ Platforms

Service enumeration across 50+ platforms reveals account registrations, profile data, display names, and profile photos. Messaging app lookups return online status, about text, and group memberships where available.

IDENTITY DATABASES
PAN Voter ID Passport Driving License Vehicle RC Bank Account UPI FASTag

Cross-reference identifiers against authorized identity verification services. Integration with government-approved KYC and verification APIs for lawful intelligence operations. Database access subject to applicable legal authorization and agency MOUs.

BREACH INTELLIGENCE
Breach Databases Credential Leaks Data Exposure History Dark Web Mentions

Breach exposure monitoring — identify if target identifiers have been compromised in known data incidents. Assess digital vulnerability and trace digital footprints invisible to traditional OSINT tools.

EMAIL INTELLIGENCE
Profile Extraction Service Enumeration Alias Discovery Linked Accounts

Email addresses yield profile photos, display names, and registered services. Service enumeration discovers which platforms an email is registered on. Alias detection reveals alternate email addresses tied to the same identity.

REGIONAL INTELLIGENCE
South Asia Indo-Pacific Regional Databases

Specialised data sources for South and Southeast Asia. Region-specific identity databases, telecom registries, and social platforms that global tools miss entirely. Pre-loaded for air-gap deployment.

ALL SOURCES CONVERGE INTO
One Aggregated, Source-Attributed Profile

From Identifier to Intelligence in Under 3 Seconds

One input triggers parallel queries across all data sources. Results are correlated, deduplicated, and delivered as a complete intelligence profile.

STEP 01

Input

Analyst enters a phone number, email, or any supported identifier into the system.

STEP 02

Parallel Search

8-12 data sources queried simultaneously. Telecom, social, breach, identity databases — all in parallel.

STEP 03

Aggregation

Results correlated across sources, deduplicated, and enriched with source attribution and confidence scores.

STEP 04

Profile

Complete digital intelligence profile delivered. Comprehensive multi-source data with full source attribution.

STEP 05

Graph

Social connections and linked identifiers mapped. Discover hidden relationships across platforms.

See It in Action

These are illustrative operational scenarios. Agency names are used to demonstrate capability relevance — they do not represent actual engagements or endorsements.

CASE STUDY · STATE POLICE

"Operation Digital Trail" — Kidnapping Suspect Network Mapped

1Phone Number Input
47Data Points Recovered
4Linked Suspects
4 minTotal Time
THE SITUATION

A suspect in a kidnapping case has abandoned their primary phone. Police have only a secondary number found on a scrap of paper at the suspect's last known location. The cyber cell has been tasked with building the suspect's digital profile, but manual OSINT would take 2-3 days.

WHAT GROSINT DOES
  • T+0s — Number entered into Grosint. Parallel queries fire across telecom, social, and breach databases simultaneously.
  • T+3s — Telecom intelligence reveals the registered name and activation circle. Caller ID services return a profile photo and associated tags.
  • T+8s — Messaging app search discovers an active account with a display name and profile photo. Social enumeration reveals the number is registered on 6 platforms.
  • T+15s — Breach database returns an email address associated with the number from a 2021 data exposure incident.
  • T+30s — Email pivot triggered on the discovered email. Service enumeration discovers 3 more linked social accounts with different display names.
  • T+2min — Social graph analysis maps connections between the suspect's accounts and reveals associations with 4 other individuals through group memberships and shared contacts.
  • T+4min — Complete suspect network mapped. Full evidence package generated with source attribution for every data point.
OPERATIONAL IMPACT

Complete suspect network mapped in 4 minutes from a single phone number. The cyber cell would have taken 2-3 days of manual OSINT to achieve the same result. 47 data points recovered, 4 linked suspects identified, and a prosecution-ready evidence chain generated with full source attribution. The kidnapping victim was recovered within 6 hours using the network intelligence.

CASE STUDY · NATIONAL INVESTIGATION AGENCY

"Operation Shadow Network" — Burner SIM to Watch-Listed Entity

1Burner SIM
3Identity Layers
2Watch-List Matches
6 minTotal Time
THE SITUATION

NIA intercepts a burner SIM number from a hawala transaction. The number appears clean — no obvious social media presence, no caller ID registration. Traditional investigative tools return nothing. The number appears to be a dead end.

WHAT GROSINT DOES
  • T+0s — Burner SIM number entered. Parallel lookups initiated across all available data sources.
  • T+3s — HLR query reveals the operator, activation circle, and SIM activation date. The number was activated 72 hours ago — consistent with a burner pattern.
  • T+12s — Breach database returns a hit: this number appeared in a 2022 data exposure linked to an email address. The email was not registered under the same name as the SIM.
  • T+30s — Email pivot on the discovered address reveals a VoIP account registered under a different name — a second identity layer.
  • T+1min — Messaging app search finds the number registered in 3 private groups. Group names and membership patterns suggest coordination activity.
  • T+4min — Social graph analysis connects the discovered identities to 2 entities on watch lists. The connection path traverses 3 identity layers that would have been invisible to manual investigation.
  • T+6min — Complete intelligence package generated with full evidence chain from burner SIM to watch-listed entities.
OPERATIONAL IMPACT

A "clean" burner number led to identification of the end user and their network in under 6 minutes. The breach intelligence connection — invisible to traditional tools — was the critical pivot point. Three identity layers were uncovered, leading to 2 watch-list matches. The evidence chain, with full source attribution and timestamps, was used to escalate the investigation to a formal case.

CASE STUDY · BORDER FORCE

"Operation Gateway" — Fraudulent Identity Detected at Checkpoint

2Identifiers Checked
3Discrepancies Found
90sDetection Time
1Fraudulent Entry Prevented
THE SITUATION

A traveller at an international checkpoint presents documents that pass visual inspection. The border officer wants a rapid digital footprint check on the passport number and declared phone number before clearance. The queue is growing — the officer has less than 2 minutes for a decision.

WHAT GROSINT DOES
  • T+0s — Phone number and passport details entered into Grosint. Both lookups fire simultaneously.
  • T+3s — Telecom intelligence confirms the number's operator data matches the declared nationality. Initial check appears clean.
  • T+8s — Caller ID lookup returns a different name than the one on the passport. First discrepancy flagged.
  • T+15s — Messaging app profile photo does not match the passport photo. Second discrepancy flagged automatically by the system.
  • T+45s — Breach database check reveals the phone number was previously linked to a flagged email address associated with document fraud. Third discrepancy.
  • T+90s — Grosint presents the border officer with a concise alert: 3 identity discrepancies detected, with source attribution for each. Traveller referred for secondary screening.
OPERATIONAL IMPACT

Identity discrepancy detected in 90 seconds. The traveller was referred for secondary screening, which confirmed the documents were fraudulent. Without Grosint, the traveller would have been cleared — the documents passed visual inspection and the name on the passport matched the boarding pass. The digital footprint told a different story. One fraudulent entry prevented.

CASE STUDY · CYBER CRIME CELL

"Operation Phish Net" — 12 Numbers, 1 Operator

12Numbers Input
1Operator Identified
15 minTotal Time
Court-ReadyEvidence Package
THE SITUATION

A phishing campaign targeting Indian banks uses rotating phone numbers for OTP collection. The cyber crime cell has extracted a list of 12 phone numbers from phishing kits. Each number appears unrelated to the others. Manual investigation of each would take the team weeks.

WHAT GROSINT DOES
  • T+0s — All 12 phone numbers entered for batch lookup. 12 parallel query sets fire simultaneously — over 100 individual lookups in total.
  • T+30s — Initial results arrive. 7 of the 12 numbers share the same breach history pattern — all appeared in the same data exposure incident from the same source.
  • T+2min — Messaging app analysis reveals 4 of the numbers are registered under similar naming conventions — sequential alphanumeric patterns suggesting automated registration.
  • T+5min — Email pivot from breach data reveals a common recovery email address shared across 5 of the accounts. This email becomes the primary identifier for the operator.
  • T+10min — Social graph analysis maps all 12 numbers to a single operator cluster. The operator's real identity surfaces through a UPI registration linked to the recovery email.
  • T+15min — Complete evidence package generated. Every connection between the 12 numbers, the shared breach history, the common email, and the operator's identity is documented with source attribution.
OPERATIONAL IMPACT

12 seemingly unrelated numbers traced to a single operator within 15 minutes. The breach intelligence cross-reference was the critical breakthrough — it revealed a shared digital history invisible to telecom-only analysis. A prosecution-ready evidence package was generated with full source attribution for every data point. The operator was arrested within 48 hours. The evidence package withstood legal scrutiny due to complete source chain documentation.

CASE STUDY · COUNTER-INTELLIGENCE

"Operation Mirror" — Foreign Contact Network Mapped

1International Number
2Mutual Connections
FullNetwork Mapped
Court-ReadyEvidence Chain
THE SITUATION

A defence establishment employee is suspected of unauthorized contact with a foreign national. Counter-Intelligence has the foreign number but no other leads. The employee denies any such contact. CI needs to establish the relationship and map the foreign contact's identity — without alerting either party.

WHAT GROSINT DOES
  • T+0s — International number entered. Grosint initiates lookups adjusted for the foreign carrier and registration country.
  • T+5s — Telecom intelligence reveals the carrier and country of registration. The activation pattern is consistent with the declared nationality.
  • T+20s — Messaging app search finds the number registered in 2 groups with themes related to defence procurement. Group membership lists provide additional identifiers.
  • T+1min — Breach database reveals the number's associated email appeared in a diplomatic contact list exposure. The email is linked to a specific institutional affiliation.
  • T+3min — Email pivot discovers the foreign contact is registered on 3 messaging platforms. Profile data and display names are collected across all three.
  • T+5min — Social graph analysis reveals mutual connections between the foreign contact's network and the suspect employee's known digital contacts. Two mutual connections confirmed.
  • T+8min — Complete intelligence package: foreign contact's digital identity, institutional affiliation, group memberships, and mutual connections with the suspect. All evidence timestamped and source-attributed for CI reporting.
OPERATIONAL IMPACT

The foreign contact's digital identity and network were fully mapped from a single international phone number. Mutual connections confirmed the unauthorized relationship that the employee had denied. The breach intelligence pivot — revealing institutional affiliation through a diplomatic contact list exposure — was invisible to any other investigative tool. All evidence was timestamped and source-attributed, creating an evidence chain designed to meet Section 65B requirements for CI reporting. The investigation was escalated based on the Grosint evidence package.

Why We're Different

Parallel Multi-Source Search
TELECOM
SOCIAL
BREACH
IDENTITY
ALL QUERIES COMPLETE IN <3 SECONDS

One query triggers 8-12 simultaneous lookups across telecom, social, breach, and identity databases. Results arrive in under 3 seconds. No sequential bottleneck — every source is queried in parallel.

Source Attribution
SOURCE + TIMESTAMP
CONFIDENCE 0.95

Every data point carries its source, timestamp, and confidence level. Full provenance chain from raw query to final profile. Prosecution-ready evidence that withstands legal scrutiny.

Social Graph Discovery
ID
PHONE
EMAIL
PIVOT
GRAPH
NETWORK

Not just flat data — Grosint maps relationships between identifiers, accounts, and entities across platforms. Discover hidden connections that link seemingly unrelated individuals through shared digital footprints.

Air-Gap Deployment
CLOUD BLOCKED
REGIONAL DB PRE-LOADED
CORE LOOKUPS OFFLINE
CLASSIFIED COMPATIBLE

Core lookups work without internet. Regional databases pre-loaded for offline access. Classified environment compatible. Your queries never leave your network perimeter.

Zero Cloud Dependencies

Deployed within your perimeter. Intelligence data never leaves the deployment boundary.

CLOUD BLOCKED
APPLICATION LAYER
Lookup Engine + API Gateway
FastAPI services, parallel query orchestration, result aggregation — all Docker containers
DATA LAYER
PostgreSQL + MongoDB + Redis
Profile storage, pre-loaded regional databases, result caching, query audit logs
HARDWARE
Single Machine Deployment
Minimal footprint. CPU-only capable. Air-gapped compatible.

Built on Open Standards

No proprietary black boxes. Every layer is auditable and replaceable.

Python 3.12 FastAPI PostgreSQL 16 MongoDB Redis React + TypeScript Docker Pydantic v2 Air-Gap Capable

Grosint is Just the Beginning

As your intelligence requirements grow, the suite grows with you.

YOU ARE HERE
Grosint
OSINT
Anveshak
FUSION
Drishti
/briefing /evaluate

Request Evaluation Access

Reach our team directly on WhatsApp.

Message us on WhatsApp

+91 9901938800