Constraints
How We Build?
Every principle is a disciplinary execution that makes AI a responsible framework. Adhering to strict compliance and regulations, we ensure the following principles are embedded during AI implementation.
Our Roadmap
Use case → agent → data → architecture → product → outcome.
Automate wherever necessary by routing agents to automate complex network operations, optimize performance, and enhancing customer experiences with agentic flows.
| USE CASE | AGENT | DATA | ARCHITECTURE | PRODUCT | OUTCOME |
|---|---|---|---|---|---|
| Network incident triage | Correlation agent reducing alerts to incidents | Network telemetry, topology, change | AIOps + Topology + Policy | dZops | Alert-to-incident ratio; MTTR |
| Service assurance | Diagnostic agent across service chains | Service topology, performance data | Tracing + Agent | dZtrace | Time to diagnose |
| Billing queries | Resolution agent at high volume | Billing, plans, usage | SLM routing + RAG + MCP | — | Cost per contained contact |
| Provisioning logic | Comprehension agent documenting legacy flows | Legacy provisioning code | Code analysis + Test generation | — | Documented coverage |
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Bring Us Your Hardest AI Implementation Challenge
Attain digital transformation goals by letting us understand where you stand and how you approach in implementing AI at full scale. As pioneers of transformation, we can make it for you.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT
