The enterprise AI operating layer.
Deep-knowledge agents, AI-native processes, and collaborative agent apps — on one governed platform. Ship in weeks, not quarters, with cryptographic lineage on every artifact.
Enterprise software doesn't get shipped in pieces. We take the whole loop.
Three integrated primitives multiply into ten-times delivery velocity. Miss one, and the operating layer collapses back into bolt-on tooling.
Agents
Deep-knowledge agents
Grounded in your business context and data. They augment intelligence — not replace judgment.
Processes
AI-native processes
Workflows redesigned around human-AI collaboration, not bolted onto legacy tickets and hand-offs.
Applications
Collaborative agent apps
Purpose-built, vertical-focused interfaces where humans and agents share the same operating surface.
Result
Agents × Processes × Apps = 10× teams.
Transform the work your business actually depends on.
Agents · Build, Change, Run
Build agents that are ready for complex, cross-functional work.
Ground them in your systems and data. Deploy them across the software life-cycle — from accelerated product engineering, to continuous modernization, to intelligent operations. The platform runs, monitors, and improves them.
- BuildAI-accelerated product & platform engineering
- ChangeModernization and AI enablement without disruption
- RunIntelligent operations, platform-led support, predictable cost
Purpose-built interfaces
Run the business on interfaces built around the workflow.
Critical work doesn't belong in a generic dashboard. Vertical-focused collaborative surfaces put humans and agents on the same canvas — engineering, revenue, marketing, finance, people, legal — each with shared governance underneath.
Structured collaboration replaces prompt-and-pray with a deterministic execution loop.
Intent is decomposed into atomic, approved specs. Agents iterate against them. A non-generative validator confirms every acceptance criterion before release. Generation is isolated from validation, by design.
Human states the business need
Intent Capture
Apollo decomposes the intent into atomic, traceable requirement tickets. Humans review and approve. The spec — not code — is now the source of truth.
Functional + technical, per ticket
Spec Synthesis
Each approved ticket generates a rigorous spec: behavior, acceptance criteria, contracts, and design. PM, Dev, QA, and agents align on the same artifact.
Code → Deploy → Test → Validate
Agentic Execution Loop
Deep-knowledge agents run an iterative loop against the spec until every acceptance criterion is satisfied. Meta-Apps supervise. Humans govern.
No AI verifies its own output
Binary Validation
A non-generative validator: unit tests, static analysis, and software contracts yield strict pass/fail. The epistemic rule of the software factory.
CI/CD with cryptographic lineage
Governed Release
Human approves completion, CI/CD ships to production, and every artifact is traced to the exact requirement that produced it. Regulators love it.
Govern the factory with full visibility and control.
See the health, performance, and reasoning of every agent at a glance. Structured collaboration replaces prompt-and-pray.
Control plane · Live
Spec as source of truth
Structured specifications — not code — define intent, behavior, and acceptance criteria. Every artifact traces back to a spec.
Human-in-the-loop approvals
Humans approve intent, requirements, plans, and completion. Agents execute inside those gates, never around them.
Agentic execution loop
Code → deploy → test → validate. Agents iterate against acceptance criteria until the spec is fully satisfied.
Cryptographic audit lineage
Every requirement, plan, artifact, and release is traceable end-to-end. Regulators get evidence, not screenshots.
Run at enterprise standard. Every layer.
From deployment to data protection to compliance, every layer is built to meet the bar regulated enterprises run on.
Accelerated delivery
Cycle times cut by up to 60%. Small teams ship in weeks what quarter-long programs used to. Predictable compute scales dynamic bandwidth without adding headcount.
Built-in security
Prompt-injection defense, agent guardrails, governed integration gateways, and independent penetration testing on a fixed cadence.
Data protection
Zero data retention with underlying model providers. Automatic PII redaction. AES-256 encryption at rest and in transit.
Compliance & standards
SOC 2 Type II, ISO 27001, GDPR, and AI-Act aligned. Independently verified annually. Cryptographic evidence, not screenshots.
Meets your stack, not the other way around.
Agents connect to the tools your teams already use — chat, CRM, DevOps, support, email — through a governed integration plane.
Bring us the workflow you can't ship. We'll return an SLA.
Pilots run 6–10 weeks against a guaranteed outcome. Procurement via Gujarat, execution via Bangalore, SOC 2 / GDPR / ISO 27001 evidence delivered.
Prefer email? Reach us at contact@stratosport.in.
