Always-on intelligent ops layer powering SourceFuse’s AI-led MSP. NYX is a multi-agent AI platform, built on LangGraph and LangChain that connects to Jira, GitHub, Confluence, Kubernetes, security scanners, cloud billing, and observability tools, reasoning across them to deliver natural-language RCA, evidence, and remediation guidance.
Capabilities
- Multi-agent AI platform built on LangGraph and LangChain, reasoning across Jira, GitHub, Confluence, Kubernetes, security scanners, cloud billing, and observability tools simultaneously.
- Natural-language root-cause analysis (RCA) with supporting evidence, surfaced in minutes, not hours of manual triage.
- Autonomous remediation guidance including suggested runbooks, PR links, and escalation paths tied directly to the incident context.
- Proactive anomaly detection and alert correlation to reduce noise before incidents become outages.
- Powers SourceFuse’s AI-led MSP offering, deployed in production environments and operated on behalf of clients 24/7.
Impact
99.99% SLA-driven availability
38 → 99% compliance score lift (Unity Small Finance Bank)
MTTR hours → minutes
Deterministic AI-powered database migration agent designed specifically for SQL Server and Oracle → PostgreSQL modernization. Replaces manual, error-prone processes with controlled, transparent, enterprise-ready conversion across assessment, conversion, and validation with 100% code conversion consistency and zero hallucinations.
Capabilities
- Migration Assessment: analyses schemas, stored procedures, queries, and dependencies; generates a clear migration roadmap with effort and risk estimates per object type
- AI-Powered Code Conversion: deterministic T-SQL → PL/pgSQL with accurate data-type mapping, dependency awareness, and built-in guardrails. No black-box automation. No hallucinations. Every conversion is audited and reviewable
- Automated Validation & Testing: comprehensive unit tests validate functional equivalence, data integrity, and business logic before production cutover
- Strategic Modernization: identifies optimisation opportunities that modernize schemas and logic for a future-ready PostgreSQL environment
Impact
90% faster migration timelines
100% code conversion consistency
~60% lower migration cost
99.99% functional equivalence
95% less manual review
Agentic test-case generation, continuous regression, and automated quality gates. ARGUS combines an AI-driven test design layer with SourceFuse’s in-house Robot Framework + MCP automation engine, validating across web, mobile, API, ETL pipelines, and security wired into CI/CD for shift-left quality enforcement from the first sprint.
Capabilities
- Agentic test-case generation: AI proposes test scenarios from requirements and user stories, including edge cases and regression paths that human testers routinely miss
- Robot Framework + MCP automation engine: SourceFuse’s in-house automation stack for seamless E2E UI and API automation via a single integrated execution engine
- Continuous regression: automated test suites run on every sprint, every PR, and every CI/CD trigger; quality gates block promotion on failure
- SF Validata (in-house): ETL testing tool for data accuracy, schema validation, and migration quality assurance across complex data pipelines
- RudraAstra & DivyaAstra (in-house): automated Web and Mobile VAPT frameworks that integrate with Jenkins for continuous security testing
- Performance testing: proactive load testing, bottleneck identification, and Claude-assisted root-cause analysis on performance findings
- Cross-platform assurance across web, mobile, browsers, API, thick-client, and network security
Impact
25% testing effort saved across SDLC
100% regression automation target
MCP significant reduction in script development effort
A set of reusable, easy-to-deploy, pre-built microservices that power the backend APIs of applications. Standardises authentication, notifications, auditability, and multi-tenant data access across SaaS applications, integrated with AWS RDS, DynamoDB, Lambda, and API Gateway.
Capabilities
- Pre-built microservices for authentication, authorisation, notifications, audit logging, multi-tenant data access, user-tenant management, chat, search, workflow, scheduling, BPMN, and video conferencing
- Production-tested patterns for multi-tenancy: row-level, schema-level, and silo isolation models
- Integrated with AWS RDS, DynamoDB, Lambda, and API Gateway for cloud-native deployment
- Pairs natively with ARC IaC for infrastructure and ARC UI/UX for the frontend layer
- Up to 24 man-months of backend scaffold work eliminated per engagement
Impact
20–25% backend effort reduced using pre-built services
3.1M+ ARC NPM downloads
Production-ready SaaS control plane aligned to the AWS SaaS Builder Toolkit (SBT). Automates tenant onboarding, provisioning, lifecycle upgrades, identity, metering, and billing using Amazon EKS/ECS, Cognito, EventBridge, and AWS Marketplace Metering and Entitlements.
Capabilities
- Full SaaS control plane covering tenant lifecycle, provisioning, IAM, metering, billing, and observability.
- AWS Marketplace Metering and Entitlements integrated for Marketplace readiness from day one.
- GenAI services layer extensibility, pre-wired for embedding LLMs, copilots, and AI capabilities.
- Multi-tenant isolation patterns (pooled, silo, and hybrid) backed by a battle-tested decision framework.
- Used by ISVs to compress SaaSification timelines from 12–18 months to 3.5–6 months.
Impact
35–40% faster time-to-market
24 man-months saved on control plane build
67% faster SaaSification (Comviva)
AWS Transform is an agentic code transformation service that automates the discovery, analysis, and refactoring of legacy codebases. SourceFuse uses AWS Transform in the Discovery phase of legacy modernization engagements to generate architecture documentation, extract development priorities, and compress Phase 1 from weeks to days.
How SourceFuse Uses It
- Automated architecture discovery — generates 4+1 view model diagrams (class, component, deployment, sequence, use-case) directly from legacy codebases, eliminating reliance on outdated or non-existent documentation
- Backlog generation — extracts development priorities and migration tasks from source code or system requirements, giving SourceFuse a structured starting point within days rather than weeks
- AI-powered documentation — comprehensive system documentation generated instantly from undocumented legacy estates; wireframe proposals and dependency maps produced automatically
- Phase 1 compression — AWS Transform reduces modernization discovery from a multi-week consulting exercise to a days-long automated analysis, accelerating time to SOW and funded execution
- Complemented by PROTEUS — AWS Transform discovers and documents the application layer; PROTEUS handles the deterministic database migration layer. Together they cover the full legacy modernization program.
Impact
Weeks → Days Phase 1 discovery compression
300+ application modernization engagements in a single client program