Technology
Agent-system engineering for software teams shipping at enterprise scale.
Overview
Software teams shipping at enterprise scale need production-grade agent engineering, not prototypes. We build the foundations and systems that hold up in production.
Accelerators
Accelerators for Technology.
Enterprise Voice
Vakyam™
Enterprise voice: dialers, CRM, and the lake, one platform.
60%reduction in cost-to-serve
Modern BI
Setu™
Legacy BI to modern analytics: migration, parity, and AI-ready insight.
1,200+dashboards migrated
Software Testing
Parikshan
AI across the software testing lifecycle, from authoring to release.
LifecycleAI in software testing
Video Analytics
Arjuna
Real-time video analytics on the CCTV you already have.
RetrofitAI on existing cameras
Engineering Foundation Studio
Nirmiti™
A shared foundation so every new service starts production-ready, not from zero.
Daysfrom empty repository to production-ready
Conversational Analytics
Bodham™
Ask the question in plain language; get validated SQL, charts, and an answer.
Secondsfrom question to charted answer
BOM Synchronization
Sama™
Engineering, manufacturing, service, and software BOMs kept in step as designs move.
Four domainsengineering, manufacturing, service, software
Engineering Cost & TCO
Sahay™
Connect architecture decisions to what they actually cost to run.
Attributedcost mapped to architecture, not accounts
Agentic IT Operations
Sutradhar™
Agents that cut the alert noise, find the cause, and fix what is safe to fix.
Noise to incidentsalerts compressed before a human sees them
Autonomous Security Testing
Vedha™
Authorized penetration testing on a release cadence, not a quarterly one.
Continuoustesting cadence instead of quarterly
Use cases
The work we run in technology.
30 modelled workflows, each with the steps it runs and the outcome it moves.
Technology
Engineering
Shift-Left API Logic & Business Rules Verification in Microservice Architecture
A fast-growing SaaS enterprise operating 40+ microservices communicating via REST and GraphQL APIs.
- integration defects caught
- 5xintegration defects caught
- API test execution time cut
- 45 minutesAPI test execution time cut
Technology
Engineering
AI-Driven Visual Regression & Cross-Browser Testing for E- Commerce
A global fashion e-commerce brand operating web stores across 25 localized domains and 6 major browser engines.
- false-positive visual test alerts reduced
- 92%false-positive visual test alerts reduced
- visual regression testing across 25 localization domains
- 15 minutesvisual regression testing across 25 localization domains
Technology
Engineering
Self-Healing Test Scripts & Flaky Test Elimination in Enterprise CI/CD
A logistics SaaS firm managing a large suite of 3,000+ UI automation test scripts running in continuous deployment pipelines.
- flaky build failures reduced
- 95%flaky build failures reduced
- build pipeline reliability increased
- 65%build pipeline reliability increased
Technology
Safety & Security
Continuous Security & Vulnerability Fuzzing in DevOps Pipelines
A FinTech company building microservices for high-concurrency payment gateways and mobile wallet transactions.
- reduction in false-positive security scanner noise
- 98%reduction in false-positive security scanner noise
Technology
Operations
Accelerating Enterprise Application Foundation Setup to Production
A digital health software enterprise launching a new patient management portal requiring secure authentication, role based access control, API gateway scaffolding, and HIPAA compliant audit logging.
- new project initial setup time slashed
- 8 weeksnew project initial setup time slashed
- architectural consistency across all newly launched enterprise
- 100%architectural consistency across all newly launched enterprise
Technology
Engineering
Standardizing Engineering Scaffolding Across Distributed Development Teams
A multinational fintech organization with 450 software engineers distributed across 18 regional squads building micro frontends for retail and institutional banking.
- cross squad code reuse increased
- 65%cross squad code reuse increased
- pull request code review cycle times cut
- 40%pull request code review cycle times cut
