From autonomous AI agents and RAG document analyzers to full multi-tenant SaaS platforms — we turn state-of-the-art AI models into reliable, high-revenue software.
Production-grade AI microservices and turnkey SaaS platforms engineered for security, speed, and real revenue.
Custom chatbots trained on your internal data — customer support, sales qualification, HR onboarding — available 24/7.
Upload legal, compliance, medical, or financial documents and get instant synthesized answers with direct page citations.
Object detection, visual quality inspection, automated receipt scanning, and document digitization pipelines.
Personalised behavioral recommendations for e-commerce, streaming, and learning platforms that boost conversion rates.
Real-time speech-to-text, natural voice agents, meeting transcription, and automated audio call summaries.
Turnkey subscription SaaS products with Stripe / Razorpay billing, tenant segregation, and granular role management.
Automated forecasting models, anomaly detection, churn prediction, and executive KPI dashboards.
AI workflows that produce personalized email drip sequences, SEO blog articles, and localized ad copy at scale.
Replace brittle SQL keyword lookups with conceptual meaning search powered by high-dimensional vector embeddings.
A transparent, milestone-driven workflow so you're never in the dark.
We define the exact business problem, data sources, and success metrics before any AI work begins.
We evaluate which AI model (GPT, Gemini, Claude, or custom OSS) fits your use case and design the data pipeline.
A working prototype in 1–2 weeks so you can validate the AI response quality and speed before full capital investment.
Full-stack development — async Python AI backend, vector DB, modern UI, and multi-tenant SaaS billing infrastructure.
Cloud deployment with automatic scaling, GPU routing, latency monitoring, and cost-optimised token caching.
AI models improve with usage feedback. We track quality metrics, user evaluation scores, and fine-tune continuously.
We define the exact business problem, data sources, and success metrics before any AI work begins.
We evaluate which AI model (GPT, Gemini, Claude, or custom OSS) fits your use case and design the data pipeline.
A working prototype in 1–2 weeks so you can validate the AI response quality and speed before full capital investment.
Full-stack development — async Python AI backend, vector DB, modern UI, and multi-tenant SaaS billing infrastructure.
Cloud deployment with automatic scaling, GPU routing, latency monitoring, and cost-optimised token caching.
AI models improve with usage feedback. We track quality metrics, user evaluation scores, and fine-tune continuously.
Enterprise-grade tooling for scalability and speed.
👋 Hi! I'm from the Codly India team.
How can we help you today?