Your Captive Engineering Team. Plus The Virtual Employees That Run Alongside Them.
Stop renting engineers from vendors. Build a captive technology team in India that writes your code, runs Virtual Employees alongside them for review, test, docs, and support triage, and compounds both the human knowledge and the machine memory inside your company.
Virtual Employee Suite Inside RG
India Cities
First-Year Retention
Years Experience
What Your India Engineering Team Can Do
We help technology companies, SaaS firms, and enterprise IT organizations build captive engineering teams across six functions.
Software Engineering
Full-stack development, microservices architecture, API development, and platform engineering. Your codebase, your standards, your team.
Quality Assurance
Manual and automated testing, performance testing, security testing, and CI/CD pipeline management. Embedded in your engineering workflow.
Cloud & DevOps
AWS, Azure, and GCP infrastructure management. Kubernetes, Terraform, CI/CD, monitoring, and site reliability engineering.
Data Engineering
Data pipelines, ETL/ELT, data warehousing, lakehouse architecture, and real-time streaming. Build your data platform team in India.
Application Support
L2/L3 application support, incident management, production monitoring, and SLA-driven operations for enterprise applications.
AI & Machine Learning
ML model development, MLOps, computer vision, NLP, and AI-native product development inside your stack. Your models, your IP, your training data. We run a suite of Virtual Employees inside our own operations today, across recruiting, compliance, finance, delivery, and pipeline. Your India engineering team is designing yours with people who have already shipped ours.
Built In. Not Bolted On.
Every engineering team we build runs Virtual Employees alongside the humans from day one. Not as a side project. As part of the operating model.
Code review triage
Virtual Employees run first-pass review for style, test coverage, and security patterns. Human reviewers approve every merge.
Test generation
Virtual Employees generate unit and integration test scaffolds from specs. Engineers own the test logic and the release gate.
Documentation
Virtual Employees draft release notes, API docs, and runbooks from code and commit history. Tech leads own the voice and the accuracy.
Support triage
Virtual Employees triage L2 tickets against known patterns, route to owners, and draft first-pass responses. On-call engineers approve every customer-facing reply.
Incident post-mortems
Virtual Employees assemble timelines, correlate logs, and draft first-pass findings. SREs own every root-cause conclusion.
Every Virtual Employee has a named engineering owner, a persistent memory layer on your codebase and incident history, and a cost-per-action budget that scales with your engineering velocity.
Own Your Technology Team
The difference between a GCC and an outsourcing contract is the difference between building equity and paying rent.
How It Works
Most clients start with FLEXI (5-10 engineers) and graduate to BOT or COPO within 12 months.
Start Small
Begin with 5-10 engineers under FLEXI. Use our infrastructure, HR, and compliance. Zero entity setup.
Prove the Model
Ship code. Hit milestones. Stand up the first Virtual Employees in code review and support triage. Build confidence that the operating model works for your stack and your culture.
Scale & Own
Graduate to BOT or COPO. Your entity, your employees, your Virtual Employees, your institutional knowledge. We transfer everything.
A US SaaS Company Built a 50-Engineer India Team in 12 Months
A US-based SaaS company was spending $4M annually on contracted engineering through a staffing vendor. The vendor owned the team, the knowledge, and the leverage. Every contract renewal came with a price increase and a retention risk.
They started with 8 engineers under FLEXI, writing production code from month one. By month six, the team had shipped two major features, attrition was zero, and Virtual Employees were running first-pass code review on every PR. They graduated to COPO at month eight.
By month twelve: 50 engineers across full-stack development, QA, and DevOps, with Virtual Employees in code review, test scaffolding, documentation, and L2 support triage. Same repos, same CI/CD pipeline, same code review standards as the US team.
Direct cost savings funded a data engineering expansion in year two. The vendor contract was not renewed.
The Scars Are Why The Patterns Work
Token costs
We have watched a naive prompt structure on a code-review Virtual Employee triple the compute bill in a week. We have the playbook for not doing that.
Governance
Who approves the merge when the VE flags a security issue. Who owns the on-call pager when the VE routes a ticket. Every VE has a named engineering owner from day one.
Persistent memory
A code-review VE that has read your last 6 months of PRs catches patterns a fresh-start VE misses. The memory layer is the difference between a useful reviewer and a demo.
Easy to say. Hard to do. That is the work.
Engineering Velocity And Cost Math With Both Levers Engaged
Engineering and platform leaders running captive India teams are operating against two pressures: vendor markups that compress with every renewal, and Virtual Employee adoption that compounds with every quarter the team holds your codebase. AI-native operations compress the routine engineering work without ceding any architecture, security, or release decision.
A captive India team inside your entity delivers the cost structure and the institutional knowledge. Both levers together produce a velocity profile that scales with codebase complexity, not headcount.
Virtual Employees + AI-Native Org Chart
Virtual Employees handle the high-volume, pattern-based work inside the engineering workflow. Code review triage against style, test coverage, and security patterns. Test scaffold generation from specs.
Release-note and runbook drafting from code and commits. L2 ticket triage and first-pass responses. Incident timeline assembly and root-cause first-pass.
Engineers approve every merge, own every test logic, sign every release. Persistent memory holds your codebase, your incident history, and your team conventions across months.
Offshore Team Inside Your Entity
A captive India engineering team inside your entity delivers the cost structure and the institutional knowledge. Direct management, your repos, your CI/CD, your code review standards. The senior India hires are exception-handlers and judgment-layer operators who know your product better than any vendor team possibly could.
Combined Math (Directional)
Directional ranges when both levers are engaged inside an engineering operation at scale: 30 to 50 percent reduction in fully-loaded engineering operating cost versus contracted vendor engineering, 25 to 40 percent improvement in PR throughput as Virtual Employees absorb code-review and test-scaffolding work, and a step change in production stability as Virtual Employee incident assembly accelerates root-cause time. The compounding asset is the persistent memory on your codebase.
Vendor teams take that knowledge with them when the contract ends. Captive teams keep it.
How the Blueprint scopes this for your engineering operation: org chart redesign for the engineering function under review, Virtual Employee roster with cost-per-action budgets, captive India team plan inside your entity, 12-month implementation plan calibrated to your release cadence. See the AI-Native Org Chart for the operational picture.
Both levers for engineering. Start with the Blueprint.
Three to five weeks. Paid engagement. AI-native engineering org chart, Virtual Employee roster for code review / test / docs / support / incidents, captive India team plan inside your entity, joint unit economics.