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Forensica.The lakehouse-native surveillance platform.

Surveillance is mandated, by exchange rulebooks, by SEBI in India, by SEC + FINRA in the US. Most capital markets firms have it. Few have it working. Brokers, wealth managers, asset managers, regional exchanges, broker-dealers, the same gap: a regulatory obligation fulfilled with vendor stacks that miss the pattern. Forensica closes that gap.

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FORENSICA ONE PLATFORM · FOUR MODULES · ONE CORE MODULE · INVESTIGATION Investigator's Copilot NATURAL-LANGUAGE INVESTIGATION MODULE · DETECTION SentinelAI AI/ML FRAUD DETECTION CORE PLATFORM Forensica Core CASE MANAGEMENT + INVESTIGATOR WORKSPACE MODULE · STREAMING Stream Markets REAL-TIME ANALYTICS + ALERTS MODULE · FOUNDATION NexusLakehouse FOUNDATIONAL DATA PLATFORM MULTI-ASSET · SEBI / SEC / FINRA AWARE · EXCHANGE-GRADE

WHAT CHANGED IN CAPITAL MARKETS

Surveillance failure is now personal. By name, in India and the US.

Surveillance is no longer a tick-the-box mandate or a team's policy document. On both sides of the world it has become a board-attested, individually-owned, continuously-operated obligation, and pre-determined rules running on legacy vendor stacks don't catch the multi-condition spoofing and cross-venue layering regulators now expect firms to surface.

INDIA · SEBI 2024 + EXCHANGE RULEBOOKS

A named Principal Officer owns every miss

SEBI's Institutional Mechanism is no longer policy, it's a board-approved system run by a named Principal Officer who owns surveillance scope, escalation, whistleblower channels, and quarterly review. Exchange regulations set the reporting formats, deadlines, and attestation, with personal consequences for non-compliance.

US · SEC + FINRA

Named supervisors and officers on the hook

SEC enforcement sits at a multi-year high, and FINRA's supervision and annual CEO-certification regime hold named supervisors and compliance officers personally accountable for missed patterns. New asset classes, crypto ETFs, perpetuals, options-on-options, outpace incumbent coverage just as a talent shortage forces tooling over headcount.

THE PLATFORM

One platform. Four integrated modules.

Forensica is the platform: rules-driven detection, an investigator's workspace, and end-to-end case management at the core. Four modules extend it, from the lakehouse data foundation through streaming, AI/ML detection, and natural-language investigation. Capital markets DNA, purpose-built IP, regulator-defensible by design.

CORE PLATFORM

Forensica

The core: rules-driven detection, investigator workspace, end-to-end case management.

The platform core connects seamlessly with any data lakehouse through out-of-the-box adaptors. Configurable, rule-driven advanced fraud detection algorithms, a dedicated investigator's workspace, and end-to-end case management and tracking. A plugin wizard extends the platform on demand with the SentinelAI and Investigator's Copilot modules.

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MODULE · FOUNDATION

NexusLakehouse

Forensica's data foundation. Lakehouse-native, built for capital markets.

State-of-the-art data lakehouse implementation tailored for stock brokers. Open table formats (Delta, Iceberg, Hudi). Pre-built surveillance data models, order-book, trade-lifecycle, alert-event schemas. Built-in governance and security controls, SEBI-aware, FINRA-aware, exchange-mandated standards. Deployable on Databricks, Cloudera CDP, Azure, AWS, or on-premises.

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MODULE · STREAMING

Stream Markets

Forensica's real-time streaming and alerting layer.

Real-time streaming analytics and alerting purpose-built for capital markets. Low-latency processing of high-volume market and order data at exchange scale. Advanced live-logic alerts with multi-condition triggers and correlation-based detection.

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MODULE · DETECTION

SentinelAI

Forensica's AI/ML detection layer.

AI/ML fraud detection engine. Out-of-the-box adaptors connect directly to the client's lakehouse and generate highly specialised data marts known as Advanced Threat Stores using specialised AI models. Integrates natively with the Forensica core to support the complete alert management lifecycle and downstream investigation workflows.

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MODULE · INVESTIGATION

Investigator's Copilot

Forensica's natural-language investigation layer, purpose-tuned for surveillance teams.

A natural-language-powered investigation assistant designed specifically for surveillance teams. Delivers domain-specific visualisations and a tailored knowledge graph, enabling investigators to query, explore, and uncover insights faster and with greater contextual accuracy. Built on the VizIQ conversational architecture, hardened and tuned for capital-markets compliance workflows.

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Where we differ

Why lakehouse-native matters.

Most surveillance vendors built before 2020 carry the architectural debt of pre-lakehouse data systems, separate data store, heavy professional-services drag, slow onboarding to new asset classes.

Capability
Forensica
Typical incumbent stack
Production reference at PB scale
Exchange-grade · in continuous production
References vary by tier
Multi-asset coverage (equity / F&O / FX / commodity / debt)
One architecture, all assets
Asset-class modules, separate purchase
Lakehouse-native (Delta · Iceberg · Hudi)
Built on it
Pre-lakehouse data stores
Time to first production pattern
14-day deploy + 4-week tune
Quarters of professional services
AI-assisted investigation (Copilot)
Native, lakehouse-trained
Bolted on, often siloed
On-prem deployment available
Day-one option
Cloud-only or expensive on-prem
Multi-regulator readiness (SEBI · SEC · FINRA)
Built across regimes
Single-regime tuning

Let's talk.

Twenty-five minutes. Straight to the point.

Tell us what's in your data and AI stack, what's stalled, and what would change if it worked. We'll share what we've shipped against similar patterns in production, and what makes sense as a first step.

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Our Hyperscaler & Strategic Partners