About Us

Who We Are

"We're moving from systems that just follow scripts… to digital partners that can think, adapt, and collaborate."

CS²B — Cognitive Systems × Scalable Behaviors — builds autonomous AI agents that perceive inputs, form goals, plan actions, and execute while continuously learning. We don't just build demos; we build production infrastructure that runs reliably at enterprise scale.

Our Philosophy: The SPAR Framework

AI agents behave like a person who's always paying attention and adjusting — sensing, reasoning, acting, and reflecting continuously.

S

Sense

Gather data from multiple sources — user interfaces, documents, APIs, vector databases, knowledge graphs — detecting triggers and maintaining awareness of context.

P

Plan

Engage in sophisticated reasoning using Chain of Thought, Tree of Thought, ReACT, and Reflexion patterns to develop step-by-step plans for achieving goals.

A

Act

Execute strategies using digital tools — calling APIs, generating documents, updating databases, scheduling tasks — via standardized protocols like MCP and A2A.

R

Reflect

Learn and adapt from experience — analyzing outcomes, evaluating performance, revising plans, and updating tool calls to continuously improve.

Enterprise-Grade Performance

We build to strict service-level objectives that give organizations confidence agents can operate in mission-critical environments.

99.9%
Uptime SLA

Redundancy and failover built-in

<2s
Response Time

95th percentile latency

<0.1%
Error Rate

Task failures in production

100+
Concurrent A2A

Simultaneous agent communications

Why Enterprises Choose Us

24/7 Operations

Continuous operation without breaks, shifts, or fatigue. Instant scalability — deploy additional agents in minutes vs. months.

📈

Measurable ROI

12-30% faster resolution times. 20-40% reduction in support costs. 20-40% improvement in customer satisfaction.

🔗

Protocol Native

Agents collaborate like services in a network — predictable, secure, and interoperable via MCP, A2A, and standard protocols.

🔬

Research Depth

We implement modern patterns: ReACT, CodeACT, Self-Reflection, Agentic RAG, Multi-Agent Collaboration — not just tutorials.

Leadership

Meet the Founder

Subramaniyam Venkata Pooni

Chief Architect, Agentic Intelligence

Visionary technology leader with 31+ years spanning AI/ML, distributed systems, cloud infrastructure, and enterprise architecture. Pioneer in Agentic AI, LLMOps, and HPC optimization.

31+ Years Experience
6 US Patents
$50M+ Deals Closed
2 Exits (Dell, IBM)

Career Highlights

Broadcom (VMware) Principal Architect – GenAI | HPC | SDDC
Futurewei Technologies Principal Lead – CTO Office
A10 Networks Director of R&D, CTO Office
Hewlett Packard Software Architect (10 years, 6 patents)
IBM (Sequent) Software Engineer – OS Kernel

Ready to ship AI agents?

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Contact

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We typically respond within 24 hours.