Unified Engineering Intelligence
EzInsights AI
SDLC Intelligence Framework
Unified engineering intelligence through multi-agent automation. The Enterprise Brain for Software and Product Development — unifying all engineering signals into a single reasoning engine.
30–60%
Engineering Toil Reduced
<5%
Hallucination Rate
50+
Languages Supported
Real-Time Intelligent Decisions
EzInsights delivers instant insights from massive enterprise data for smarter decisions.
The Problem
Traditional DevOps Has Blind Spots
Traditional DevOps toolchains focus on pipelines; observability platforms focus on metrics; AI copilots focus on writing code; ITSM tools focus on tickets. None understand the full SDLC end-to-end.
Fragmented Signals
Code, logs, metrics, tickets, deployments are all siloed — no system understands how the signals relate.
Slow RCA
Root cause analysis takes hours or days. Teams manually correlate logs, code changes, and incident tickets.
Test Coverage Gaps
Manual test creation is a bottleneck. Edge cases are missed. Coverage never keeps pace with code velocity.
Compliance Overhead
Mapping controls to evidence is manual, time-consuming, and error-prone. Audit prep takes weeks.
The Solution
SDLC Intelligence Architecture
A multi-agent system that unifies all engineering signals into one reasoning engine, powered by the Engineering Knowledge Graph.
CI/CD failure diagnosis
Root cause analysis automation
Complete test suite generation
Architectural drift detection
Security & compliance gaps
30–60% Engineering Efficiency
Architecture
Four-Layer Intelligence Stack
Data Ingestion Layer
Connects to GitHub, GitLab, Jenkins, Datadog, Splunk, Jira, ServiceNow, SonarQube, Snyk. Supports streaming, batch, and event-based integration.
Engineering Knowledge Graph (EKG)
Unifies code, tests, pipelines, logs, metrics, tickets, architecture, and compliance into structured relationships for AI reasoning. The core differentiator.
Multi-Agent Automation Layer
Six specialized agents: Code, QA, CI/CD, SRE, Compliance, Architecture. Agents collaborate using coordination protocol grounded in EKG data.
Delivery & Intelligence Layer
Interactive dashboards, automated reports, RCA summaries, compliance bundles, deployment safety scores, and engineering KPIs delivered to all stakeholders.
Multi-Agent SDLC Automation
Six Specialized Agents, One Unified Engine
Code Intelligence Agent
PR review, breaking change detection, risk scoring, missing test coverage identification. Scorecard for every developer.
QA Automation Agent
Generate unit, integration, and E2E tests; validate API workflows; increase coverage; detect missing edge cases automatically.
CI/CD Agent
Diagnose failed stages, identify broken dependencies, detect version mismatches, find flaky tests before they block releases.
SRE / RCA Agent
Analyze logs at scale, group anomalies, map logs → services → code → changes. Produce full root cause analysis automatically.
Compliance Agent
Map controls to evidence, detect gaps, automate compliance checklists, generate audit-ready bundles.
Architecture Agent
Detect drift, validate diagrams, identify dependencies, generate impact graphs and HLD/LLD documentation.
Platform Performance
Technical Excellence & Proven Results
Enterprise Security
Row-level permissions, PII masking, audit logs, on-prem, private cloud, VPC-isolated, or hybrid
Kubernetes Scale
Horizontal auto-scaling with Kubernetes. Multi-agent collaboration with deterministic workflow engine.
Industry Packs
Telecom, Insurance, Railroads, Utilities — pre-trained agents with domain ontologies and preset KG templates
Partner Program
SI partners earn 20–40% margin. Typical implementation: $75k–$400k. Managed services model available
- HLD/LLD Generation Accuracy 92%
- Hallucination Prevention 95%
- Workflow Automation 70%
- Engineering Toil Reduction 60%
Supports Azure OpenAI–AWS Bedrock–GCP–OpenAI–Claude–Local Models
Automate Your Engineering Toil
Deploy in 1–3 days. Start automating 30–60% of engineering work within 90 days.