Enterprise • Edge • Cloud

AI data pipelines & agentic orchestration for production systems

We design scalable, explainable data processing pipeline and multi-agent solutions that automate decisioning, monitoring, and remediation — with enterprise-grade security and auditability.

Real-time Data Ingestion

High-throughput collectors with schema inference, enrichment, and adaptive sampling for efficient storage and downstream AI.

Agentic Orchestration

Design, test, and run autonomous agents that coordinate across services — with task planning, backoff strategies and human-in-the-loop controls.

Explainable Models

Model interpretability and lineage tracking built into every pipeline so decisions remain transparent to auditors and operators.

Trusted by fintechs, logistics platforms, and global retailers for production ML and agent automation.

What we build

From data acquisition to agentic decisioning — Cognitia Labs delivers production-ready systems with observability, access controls, and policy enforcement built-in.

  • DataOps for ML: automated ingestion, validation, drift detection, and versioned datasets.
  • Agent Platforms: multi-agent task planners for orchestration, escalation and policy-driven actions.
  • Security & Compliance: role-based controls, data encryption, and PII-preserving transforms.

Technology & Integrations

Kafka / Pulsar, Kubernetes, Postgres, Snowflake, S3-compatible stores, OpenTelemetry, and popular LLM/agent frameworks.

Sample Pipeline

  1. Edge collectors → streaming gateway
  2. Schema normalization & enrichment
  3. Feature store + model scoring
  4. Agent coordinator triggers actions (tickets, remediation, escalation)
  5. Audit logs + human review loop

We provide both on-prem and cloud reference implementations to match each client's compliance posture.

Why customers choose us

  • Fast time-to-production with hardened templates
  • Built-in observability and alerts for agent actions
  • Active threat detection and safe fallback behaviours

Case Studies

Examples from recent engagements (names anonymized for confidentiality).

Fintech — Real-time Fraud Triage

Implemented a streaming enrichment pipeline and a prioritized agent that reduced manual reviews by 78% while maintaining a sub-0.05% false positive rate.

Logistics — Autonomous Routing Agents

Deployed a fleet of route-optimization agents that coordinated to reassign deliveries during disruptions, improving on-time performance by 12%.

Retail — Personalization at Scale

Feature store and lightweight agents enabled dynamic catalog updates, yielding a 9% lift in conversion for high-value segments.

Team & advisors

AS
Asha Srinivasan — CTO
ML systems, distributed streaming

Asha previously led ML infra teams at a large payments company and focuses on resilient, auditable pipelines.

Rohit Menon — Head of Agentics
Multi-agent planning & safe RL
RM

Rohit has worked on autonomous decision systems for logistics and industrial automation.

Pricing

Flexible plans for startups and enterprises. Most customers start with a discovery + pilot before moving to production engagements.

Starter

Pilot & integration (4–8 weeks)
$15k

Includes architecture, 1 connector, and a controlled pilot environment.

Scale

End-to-end production (3–6 months)
Starts at $65k

Multiple connectors, SLOs, and model lifecycle support.

Enterprise

Custom contracts & on-prem options
Custom

Dedicated security reviews, on-site support, and SLAs.

Contact

Want to discuss a pilot, data integrations, or agentic strategy? Drop us a note — we typically respond within 48 hours.

Email
contact@cognitialabs.info
Address
Remote (India HQ), Operations: Mumbai
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