Custom Software • ERPs • AI & LLMs • IoT — Get a free consultation
Fine-tuning and training large language models on your proprietary data. Our LLM Training Services take open-source or foundation models and fine-tune them on your documents, support tickets, or domain data, producing a model that actually understands your business language. We manage data preparation, training pipelines, evaluation, and deployment so the result is production-ready, not a lab experiment.
We map your goals, users and workflows before a single line of LLM Training Services work begins.
Scalable, future-proof system design built specifically around your business.
Sprint-based releases with demos every two weeks — you always see progress.
Functional, performance and security testing baked into every milestone.
Encryption, role-based access and compliance-aware engineering as standard.
SLA-backed maintenance, monitoring and continuous improvement after go-live.
We fine-tune large language models for your exact domain.
Free consultation, requirement workshops and a detailed proposal.
UX flows, wireframes and a clickable prototype you approve first.
Agile sprints with bi-weekly demos and transparent progress tracking.
Automated + manual QA, security checks and performance tuning.
Deployment, training, SLA support and continuous upgrades.
Clean, representative text such as support tickets, product documents, internal wikis, or past conversations works best. We help structure and clean this data before training begins.
A focused fine-tuning project typically takes 4 to 8 weeks, covering data preparation, training runs, evaluation, and deployment into your existing application stack.
Most business use cases fine-tune an existing open-source foundation model, which is far cheaper and faster than training from scratch while still delivering domain-specific accuracy.
Tell us your idea — free consultation and a detailed proposal within 48 hours.
Custom software, ERPs, CRMs, AI & LLM solutions, IoT and cloud — engineered in India for businesses worldwide, across every industry.