Service · Aarohii AI Solution Private Limited
LLM development & integration
LLM development here is the application around the model: prompts as versioned artefacts, retrieval, tool calls, cost control, and tests—not a notebook demo.
What LLM integration includes
- Model routing and fallback when a vendor fails or prices change.
- Prompt and policy versioning so you can see what went to production.
- Evaluation sets for the tasks you actually run—not public leaderboard scores alone.
- Logging that a human can inspect without dumping customer data into a slide.
Technologies
We work with hosted and open models as the product requires. The constraint is usually data rights, latency, and cost—not which logo is on the API. Deep dive: LLM technology.
Related: RAG · What is an LLM? · Evaluating vendors
How an engagement runs
- 20-minute fit call — we say yes or no.
- Written plan — scope, success tests, and what we will not do.
- Build with evaluation hooks and weekly demos you can inspect.
- Support after launch — we stay for the messy month, not just demo day.
Open the proof without an NDA: Pixellpeep, Captverse, Auvora. Buying notes: what drives cost · how to choose a company.
Questions
Is Aarohii a large language model company?
No. We are an AI product studio. We build applications that use LLMs. We do not train foundation models.
Can you replace our current vendor later?
Yes if we designed for routing and evaluation from the start. Lock-in is a design choice—we prefer it to be explicit.
If the problem maps to work we actually ship, we will say so in 20 minutes.
Request a fit call