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LLM and ML systems that ship to production

AI Software Development

We design and ship production-grade AI systems: LLM-powered applications, retrieval-augmented generation, recommendation and risk models, and the MLOps pipelines that keep them accurate, fast and cost-efficient.

Key capabilities

  • LLM apps & RAG systems
  • Recommendation & personalization
  • Fraud & risk models
  • MLOps & evaluation

From prototype to dependable production AI

Most AI projects stall between a promising demo and a reliable product. We specialize in crossing that gap — building LLM applications with grounded retrieval, guardrails and evaluation; recommendation and personalization engines; and fraud and risk models — wrapped in the MLOps needed to monitor quality, control cost and iterate safely.

Capabilities

What our ai software platform delivers

LLM applications & RAG

Grounded assistants, search and automation with retrieval, guardrails and evaluation harnesses.

Recommendation engines

Personalization that lifts engagement and lifetime value across products and content.

Fraud & anomaly detection

Real-time models that flag suspicious behavior in payments and gameplay.

MLOps & evaluation

Pipelines, monitoring and automated evaluation that keep models accurate and cost-effective.

What's included

  • AI/LLM application or model
  • Data & retrieval pipeline
  • Evaluation & guardrail harness
  • MLOps deployment & monitoring

Technology

A modern, proven stack selected for performance and reliability.

PythonPyTorchTensorFlowVector databasesLLM orchestrationKubernetes
Process

How we build your ai software

A transparent, proven delivery process from strategy to launch and beyond.

01

Discovery & market strategy

We map your target markets, payment rails, regulatory obligations and competitive landscape into a concrete product and compliance roadmap.

02

Architecture & UX design

Solution architects and product designers define a scalable, API-first architecture and a conversion-optimized player experience.

03

Agile engineering

Cross-functional squads build in two-week sprints with continuous integration, automated testing and transparent delivery tracking.

04

Integration & certification

We integrate odds, casino, payment and KYC providers, then drive certification and load-testing to production-grade thresholds.

05

Launch & growth

We deploy, monitor and optimize — with 24/7 support, observability dashboards and a roadmap for new markets and verticals.

Why us

Why operators choose Madhava for ai software

Launch in weeks, not years

Our white-label cores and pre-integrated provider library compress time-to-market from 18 months to as little as 1 week.

Built for emerging markets

Deep expertise in South Asian, African and Gulf markets — local payments, languages, currencies and regulatory nuance.

Own your platform

Custom builds with full source-code ownership and zero revenue-share lock-in. Your IP, your roadmap.

Data-driven retention

Built-in CRM, bonus engine, segmentation and analytics to grow lifetime value from the first deposit.

FAQ

AI Software Development — FAQs

Build your ai software with Madhava

Share your goals and target markets and we'll respond with a tailored proposal, technical roadmap and timeline.