What asset classes does the Surveillance Suite cover?

The Surveillance Suite is multi-asset by architecture, equities, futures and options, currency, commodities, and debt, running on one stack with one architecture. Stream Markets handles real-time streaming analytics at 1M+ events per second, SentinelAI provides AI and ML-driven detection, and Forensica handles case management. New asset classes (crypto ETFs, perpetuals, options-on-options) are absorbed in days, not quarters, because the architecture is lakehouse-native rather than asset-class-bound.

How is this different from incumbent surveillance vendor stacks?

Incumbent stacks 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. Smart Analytica's suite is lakehouse-native (Delta Lake, Unity Catalog) from the foundation. Time to first production pattern is a 14-day deploy plus 4-week tune, versus quarters of professional services on incumbent stacks. AI-assisted investigation is native, not bolted on. On-prem deployment is a day-one option.

Can the suite be deployed on-premises?

Yes. NexusLakehouse is deployable on-premises or on-cloud, and on-prem is a day-one option, not a separately-priced add-on. The full suite runs on Databricks (cloud or hybrid) or on open-source Delta Lake on customer-managed Kubernetes for fully air-gapped deployments. This is a meaningful difference versus incumbent surveillance vendors that often charge premium for on-prem or cap it as a custom engagement.

How does AI-assisted investigation compress analyst workload?

Three mechanics. SentinelAI applies AI and ML hybrid detection on top of rule-based alerts to reduce false positives and prioritize high-conviction signals. Forensica orchestrates case workflows so analysts spend their time on disposition, not data gathering. Copilot, the investigator's natural-language interface, lets analysts query trade data, build chains of evidence, and produce disposition narratives without leaving the investigator workspace. The compounded effect: alert disposition compressed from 18 minutes to 4, measured in exchange-grade production.

Where engineering
depth meets industry
expertise.

Solutions built on years of production delivery across capital markets, banking, telecom, talent analytics, clinical research, and retail. Each one tuned to the patterns the industry actually buys.

Talk to our team → Explore industries →

Six industries. Production-engineered.

Capital Markets Surveillance

A lakehouse-native surveillance suite: multi-asset, exchange-grade, with sub-second alert latency.

Explore the suite → 02

Clinical Research

Patient cohort discovery, protocol-deviation detection on harmonized clinical data.

Explore Clinical → 03

HR · Talent Analytics

Recruiter intelligence, candidate scoring, market-rate benchmarks. Modern semantic layer for self-service analytics.

Explore HR → 04

KYC Processing

AI-driven identity verification, document processing, ongoing monitoring with regulator-grade audit trails.

Explore KYC → 05

Retail

Inventory analytics, demand sensing, omnichannel customer-360, built on the modern retail data foundation.

Explore Retail → 06

Telecom Analytics

Revenue assurance, real-time fraud detection, customer-360 on high-volume telecom data flows.

Explore Telecom →

01 · Industry · Capital Markets

Capital Markets Surveillance. Lakehouse-native, exchange-grade.

A surveillance suite engineered for multi-asset, multi-regulator workloads (SEBI in India, SEC + FINRA in the US). Built and run inside a tier-1 exchange. Opening to US broker-dealers, wealth managers, asset managers, and regional exchanges.

THE SUITE · 5 LAYERS

What we ship

NexusLakehouse, foundational data platform, on-prem or cloud
Stream Markets, real-time streaming + alerts at exchange scale
Forensica, surveillance enablement + case management
SentinelAI, AI/ML-driven advanced fraud detection
Investigator's Copilot, natural-language investigation

Multi-assetLakehouse-nativeSEBI · SEC · FINRAOn-prem available

Explore Capital Markets Surveillance →

PRODUCTION HERITAGE

Built where it counts

Tier-1 exchange, multi-asset, continuous production, 1M+ events/sec

Offshore financial hub, international financial centre regime

US enterprise rollout, expanding into broker-dealers and regional exchanges

Talk to our team →

02 · Industry · Healthcare / CRO

Clinical research. Patient discovery to protocol integrity.

Clinical-trial workflows that turn harmonized patient data into faster patient discovery and earlier protocol-deviation detection.

THE WORK

What we engineer

Patient cohort discovery on harmonized clinical data
Protocol-deviation detection during trial conduct
Real-world-evidence pipelines and trial-data harmonization
Regulatory-aligned data lineage and audit trail

Explore RxIQ →

IN PRODUCTION

References

Clinical research organization, anchor reference for the RxIQ product family. Patient cohort discovery, protocol-deviation detection on harmonized clinical data.

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03 · Industry · HR & Talent

HR & talent analytics. Recruiter intelligence at scale.

Modern talent platforms run on data. Recruiter intelligence, candidate scoring, market-rate benchmarks, workforce analytics, engineered with semantic layers business users actually use.

THE WORK

What we engineer

Recruiter-intelligence platforms with real-time candidate insights
Candidate-scoring models tuned to client-specific success patterns
Market-rate and compensation benchmarking
Workforce analytics, attrition, engagement, capacity
Modern semantic layer for self-service HR analytics

Azure FabricSemantic layerML scoringSelf-service BI

IN PRODUCTION

References

Talent analytics platform, built on Azure Fabric. Recruiter intelligence, candidate scoring, market-rate benchmarks, with Azure-orchestrated pipelines and a modern semantic layer for self-service.

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04 · Industry · Banking + Capital Markets

KYC Processing. Audit-ready, at scale.

Identity verification, document processing, and ongoing monitoring, engineered into lakehouse-native pipelines with the audit trail regulators expect. Built for the volumes banks and capital markets firms actually process.

THE WORK

What we engineer

Automated identity-document extraction and verification
Risk-scoring pipelines with full audit trail
Ongoing monitoring and watchlist screening
Regulatory reporting (RBI · SEBI · exchange-mandated)
Onboarding workflows tied to KYC outcomes

Document AIML risk-scoringLakehouseAudit lineage

IN PRODUCTION

References

Document AI at enterprise scale, automated identity-document extraction and risk-scoring engineered into lakehouse-native pipelines

Audit-trail by design, regulator-grade lineage built in from day one, RBI · SEBI · exchange-mandated reporting supported

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05 · Industry · Retail

Retail. From shelf to signal.

The Modern Data Platform pattern, applied to retail. Real-time inventory analytics, demand sensing, omnichannel customer-360, and supply-chain visibility, engineered on the same lakehouse foundation we run at enterprise scale.

WHAT WE ENGINEER

The retail data foundation

Real-time inventory analytics across stores, DCs, marketplaces
Demand sensing and forecasting on real-time signals
Omnichannel customer-360 unifying digital + physical touchpoints
Pricing and promotion analytics with margin guardrails
Supply-chain visibility from supplier to shelf

Modern Data PlatformReal-time streamingCustomer 360Demand sensing

THE APPROACH

Built for the retail data leader

Tailored reference architecture and a working production cohort. Direct line to our senior data-platform team, the same engineers who run lakehouse estates at enterprise scale.

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06 · Industry · Telecom

Telecom analytics. Revenue, fraud, scale.

Telecom operators run some of the highest-volume transactional data flows in the enterprise. Real-time revenue assurance, fraud detection, and customer-360, engineered for telecom-grade throughput.

THE WORK

What we engineer

Real-time data integration across BSS / OSS / CDR streams
Revenue assurance and leakage detection
AI/ML fraud detection at telecom-grade event throughput
Customer analytics and churn prediction
Network-quality analytics and traffic insights

Real-time streamingAI/ML detectionRevenue assuranceCustomer 360

IN PRODUCTION

References

Telecom-grade throughput, real-time integration across BSS, OSS, and CDR streams engineered for global operator volumes

Revenue assurance & fraud detection, AI/ML detection running on a modern lakehouse, tuned to operator-network patterns

Talk to our team →

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.

Talk to our team →

Where engineeringdepth meets industryexpertise.

Six industries. Production-engineered.

Capital Markets Surveillance

Clinical Research

HR · Talent Analytics

KYC Processing

Retail

Telecom Analytics

Capital Markets Surveillance. Lakehouse-native, exchange-grade.

What we ship

Built where it counts

Clinical research. Patient discovery to protocol integrity.

What we engineer

References

HR & talent analytics. Recruiter intelligence at scale.

What we engineer

References

KYC Processing. Audit-ready, at scale.

What we engineer

References

Retail. From shelf to signal.

The retail data foundation

Built for the retail data leader

Telecom analytics. Revenue, fraud, scale.

What we engineer

References

Twenty-five minutes. Straight to the point.

Where engineering
depth meets industry
expertise.