The technology stack — AI & Agentic Systems

Agents, run likeproduction software.

Enterprises don't fail at building agents — they fail at running them. Our agentic stack treats every agent as a governed cloud workload: registered, secured, observed and orchestrated, from the model to the merge request.

The platforms

Two products, one runtime

What the stack provides

Everything between the model and production

Semantic routing

Vector, LLM-based and hybrid routing sends every request to the right agent — agents discover each other through A2A Agent Cards and W3C-standard descriptions.

Zero-trust agent security

Decentralized identities, Istio mTLS and role-based access control on every agent-to-agent and agent-to-tool call — plus deep payload inspection with PII masking.

Three-tier memory & context

Session, persistent and semantic memory, with a Team Context Hub that curates enterprise context and cuts agent token consumption by up to 90%.

Cognitive observability

OpenTelemetry-based tracing of reasoning loops — token usage, tool calls, decisions and outcomes, correlated end to end for audit and debugging.

Open interoperability

MCP for tools, A2A for agent collaboration, W3C Web of Things for description — SDK-agnostic runtimes for LangChain, Semantic Kernel, LMOS Arc and Microsoft Agent Framework.

Virtual squads

Analyst, architect, developer and QA agents bound to real roles and real workflow gates — autonomy with embedded governance, from requirement interviews to NFR enforcement.

Applied AI

The same intelligence, inside every vertical


Operate agents with confidence

On your cloud or fully air-gapped on-premises — the runtime, the governance and the team that built them.