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We license private codebases to build RL environments for coding models.

If your team is sitting on older internal systems that still carry years of real work, WootzApp helps them find a second life. W8-RL is our proprietary infrastructure for turning private software into repeatable RL environments with better rollouts and dense browser-visible rewards, without asking you to give up the underlying IP.

Non-exclusive licensingW8-RL environmentsIndia-scale private code

A note to teams sitting on legacy code

These systems still carry years of care and know-how.

India is not a side market for us. It is one of the densest concentrations of IT services delivery, software talent, GCC infrastructure, and private enterprise workflows anywhere in the world. Even when a system is no longer strategic, it still represents real craft.

We have presence in Delhi, Bengaluru, Pune, Hyderabad, and Chennai, and our Forward Deployed RL Engineers (FDRL) spend time on ground with teams so the process feels local, respectful, and practical rather than extractive.

You keep your IP. Our IP is W8-RL: the rollout, reward, and evaluation infrastructure that turns older systems into trainable environments.

DelhiBengaluruPuneHyderabadChennai

That same local presence is what lets W8-RL work with truly private systems that public corpora never touch.

Why We Specialize In India

India is where large-scale services delivery, GCC infrastructure, and private enterprise software overlap. That density is why W8-RL specializes here: it gives us access to the kind of legacy workflows and browser-visible operational behavior that public corpora do not contain.

US$283B -> US$350B

India tech sector

FY25 to projected FY26 sector scale, showing why India is a strategic software market in its own right.

5.8M professionals

Engineering depth

India contributes 28% of global STEM talent and 23% of the world’s software engineering professionals.

4.3% of world services exports

Global services weight

India ranks second globally in telecommunication, computer, and information services exports.

1,800+ GCCs

Enterprise density

India’s GCC base employs 1.9 million professionals and is projected to reach US$110B by 2030.

Selected benchmarks from India's Economic Survey 2024-25 and IBEF 2025 reporting.

W8-RL is about quality, cost, and operational fit.

Model companies care about environment quality and evaluation signal. Indian IT and enterprise software teams care about practical terms, retained IP, and whether the process is worth the effort. W8-RL is built for both sides.

It gives model teams better rollouts, denser browser-visible rewards, and more reliable evaluation, while making older private systems cheaper and easier to turn into usable RL environments. India gives us unusually high density of those systems.

1

Training quality

W8-RL gives model teams higher-quality environments.

It packages legacy systems into repeatable environments, runs stable rollouts, and scores browser behavior with dense browser-visible rewards instead of relying on unit tests alone.

2

Operational cost

W8-RL makes legacy systems cheaper to operationalize.

Reusable rollout, reward, and evaluation infrastructure lowers one-off environment work and reduces wasted compute on systems that cannot be graded reliably.

3

Commercial fit

The model works for Indian IT and enterprise software teams.

Code owners keep their IP through non-exclusive licensing, while W8-RL turns older IT services, ERP, payments, and enterprise workflows into trainable environments.

FDRL Deployment Model

$ Forward Deployed RL Engineers

Our FDRLs work on ground with counterpart teams to understand workflows, stand up environments, and translate legacy product behavior into RL-ready tasks.

$ What they transform

They turn old, unused, and legacy codebases into richer RL environments with better rollouts, finer-grained rewards, and more realistic browser-visible evaluation.

$ Why model companies care

This is how we reach the private operational systems that do not exist in public source corpora and convert them into usable training substrates.

$ What gets monetized

The company keeps its IP while the legacy codebase becomes monetizable through non-exclusive access for environment creation and training-data generation.

What tends to work well for us.

We generally prefer older private systems that already contain real workflows, integration edges, and useful verification surfaces. The goal is not raw repo access. The goal is turning the system into a usable W8-RL environment without forcing a heavy lift on your team.

Good fit systems

  • Private production systems with real business logic
  • Integrated workflows, not toy repos or tutorials
  • Older enterprise software with real maintenance history

What helps most

  • Good tests or at least reliable verification surfaces
  • Backend-heavy or full-stack systems with admin flows
  • Meaningful size, usually around 100k+ lines or equivalent complexity

What we can adapt around

  • Swapped databases, secrets, or infrastructure dependencies
  • Legacy ERP, payments, card-stack, and enterprise IT setups
  • Codebases that need packaging before they become trainable
Commercial Shape

$ Access model

Usually non-exclusive. You retain ownership and can continue to use the code however you want.

$ What we do with it

We do not package up the repo and sell it raw. We build training environments, reward pipelines, and research artifacts on top of it.

$ What FDRLs add

On-ground deployment lets us understand the legacy workflow well enough to create realistic tasks, dense rewards, and higher-quality rollouts.

$ Pricing drivers

Size, maturity, test quality, integration complexity, and whether the codebase supports realistic environment construction.

Typical non-exclusive deals are often in the $5k-$25k range, with many codebases landing closer to $5k-$10k depending on quality, maturity, and usefulness.

What to send and what people usually ask.

Keep the first note short. If the system looks like a fit, we can go deeper after the first pass.

What to send us first
  • Stack summary and what the system actually does
  • Approximate lines of real code and backend/frontend split
  • How good the test coverage is in practice
  • Whether it can be run independently with infrastructure swapped out
  • Whether it comes from an IT services, enterprise software, ERP, card stack, or financial-services workflow
  • Whether there are admin flows, browser-visible workflows, or integration-heavy surfaces
  • Any reason the codebase is unusual, legacy, private, or particularly well-crafted
Do you need exclusive rights?

No. Non-exclusive access is completely acceptable. In many cases that is the preferred structure.

Are you reselling the codebase?

No. We use codebases to build environments, reward structures, and training data on top of them. We are not packaging up and reselling the raw repo.

What kinds of companies do you work with?

We work with Indian IT services companies, financial services IT providers, card stack companies, ERP companies, and enterprise software companies, with active presence in Delhi, Bengaluru, Pune, Hyderabad, and Chennai.

How do you think about pricing?

Typical non-exclusive deals are often around $5k-$25k, with many codebases landing closer to $5k-$10k depending on quality, maturity, and usefulness.

What makes a codebase especially useful?

Strong tests, real integration points, realistic setup complexity, and behavior that requires more than a binary verifier to evaluate well.

If your team is sitting on older private systems, we'd be glad to talk.

A short note is enough to start. We can begin with context, not paperwork, and see whether a respectful non-exclusive path makes sense.