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AI Product

LLM Solutions

Large language models put to work for your business

Large language models are powerful, but raw model access is not a solution. Winzone Softech delivers production LLM solutions — selecting, integrating, prompting, fine-tuning and deploying models so they solve real business problems reliably and cost-effectively. From hosted APIs to private open-weight deployments, we make LLMs enterprise-ready for businesses in India.

OpenAI / Claude / Mistral / LlamaLoRA / QLoRA fine-tuningPrompt versioning + guardrailsEval harness + monitoringPrivate GPU / cloud deployment
LLM Solutions preview
Features

Everything you need out of the box.

Model selection

We benchmark hosted and open-weight models against your use case for the best accuracy-to-cost balance.

Prompt engineering

Structured prompts, system instructions and guardrails tuned and version-controlled for consistent output.

Fine-tuning

LoRA / QLoRA fine-tuning on your data when prompting alone isn't enough, with before-and-after evals.

Private deployment

Open-weight LLMs deployed on your infrastructure for full data sovereignty.

Cost and latency control

Caching, routing and right-sized models keep response times fast and token costs predictable.

Evaluation and monitoring

Automated evals plus production monitoring catch quality drift and regressions early.

Benefits

Why teams choose LLM Solutions

Reliable output

Guardrails, structured outputs and evals turn an unpredictable model into a dependable system.

Controlled costs

Model routing and caching cut token spend without sacrificing quality.

Data sovereignty

Private deployment keeps sensitive data inside your own environment.

Use Cases

Where LLM Solutions shines

  • Content and drafting
  • Classification and extraction
  • Conversational interfaces
  • Code and analysis
FAQ

Common questions

Which LLM is best for our business?
It depends on the task, accuracy needs, latency and budget. We benchmark hosted models like GPT and Claude against open-weight options on your actual use case before recommending one.
Should we use a hosted API or a private model?
Hosted APIs are fastest to ship and great for most cases. Private open-weight deployment makes sense when data sovereignty, cost at scale or customisation is the priority. We help you choose.
Can LLMs be made reliable enough for business use?
Yes. With structured prompts, guardrails, retrieval grounding and an evaluation harness, an LLM becomes a dependable component rather than an unpredictable one.
Do you fine-tune models?
Yes, when prompting and retrieval aren't sufficient. We use LoRA / QLoRA on open-weight models and measure accuracy gains on real evaluations before deploying.
Get a personalised demo

Try LLM Solutions on your data.

30 minutes. We’ll show you what’s possible for your business — no slide deck.