The Strato-Apollo software factory.
A born-AI platform that replaces the traditional SDLC with a spec-driven, agentic execution loop. Humans govern architecture. Apollo executes, validates, and ships — with cryptographic lineage on every artifact.
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.
One governed operating layer. Six role-specific workbenches.
Each function gets purpose-built agents, shared governance, and measurable productivity outcomes — orchestrated through a common security, knowledge, and human-in-the-loop plane.
CTO / CIO · Workbench
Ship software. Stabilize production.
- SWE copilots · build, refactor, test
- SRE agents · observability, triage
- L1/L2 support · resolution & reuse
CRO · Workbench
Scale revenue productivity end-to-end.
- BDC lead-gen · prospect & qualify
- RevOps · pipeline, forecast, insights
- Sales engineer · demos, RFPs, TDDs
CMO · Workbench
Industrialize demand and content.
- Content · briefs, assets, localization
- Experimentation · A/B & CRO
- SEO / SEM · keyword & performance
CFO · Workbench
Automate finance ops and insight.
- R2R · close, controls, variance
- P2P & O2C · AP, AR, collections
- Reporting · forecasts & commentary
CHRO · Workbench
Talent, service, workforce insight.
- Sourcing · search, screen, outreach
- HR support · policy, case routing
- Insights · skills, capacity, attrition
CLO · Workbench
Contracts, compliance, IP defense.
- Redline · first-pass contract review
- Compliance · global reg monitoring
- IP Protection · web infringement scan
Enterprise AI Operating Layer
Traditional builds took quarters. Apollo ships in weeks.
Real deployments from the Apollo factory. Smaller teams. Exhaustive tests. Predictable cost, dynamic bandwidth.
AI-powered EdTech · Agent orchestration
Enterprise Learning Platform
Traditional
12+ months
Apollo
16 weeks
- 0+
Screens shipped
- 0+
User journeys
- 0+
Tech specs
Web · Mobile · Cloud-native · Event-driven
Rubric scoring · OCR · Multi-formfactor
AI Evaluation & Scoring Suite
Traditional
8+ months
Apollo
10 weeks
- 0+
Screens
- 0+
User journeys
- 0+
Tech specs
Cross-platform · Cloud CDN · Managed data
Enterprise super app · CRM + ERP
Omni-channel Employee Agent
Traditional
Traditional build
Apollo
2 weeks
- 0 wk
Delivery
- 0
Scrum team
- 0%
Governed knowledge
Agent orchestration · Governed knowledge · HITL
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.