Capability
LLM Cost Optimisation across India
Cut inference spend by routing, caching and right-sizing, usually 40 to 70% without losing quality.
- Industries
- 12
- Stack options
- 10
- Typical first release
- 6 weeks
What llm cost optimisation means when we build it
Budget ceilings and anomaly alerts turn a runaway loop into a two-hour incident rather than a month-end surprise.
We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.
What is included
- Spend audit broken down by feature and by call
- Model routing so each task uses the cheapest adequate model
- Semantic caching for repeated and near-identical queries
- Prompt compression that preserves meaning
- Budget ceilings and anomaly alerts
- Quality benchmarked before and after, so savings are not silent regressions
Who this is for
We usually work with engineering leaders, CFOs, platform teams and AI product owners, the people who own the outcome rather than the tooling decision.
LLM Cost Optimisation by industry
Each sector changes the constraints, regulation, systems of record, and what a wrong answer costs.
- LLM Cost Optimisation for SaaS & TechnologySOC 2
- LLM Cost Optimisation for E-commerceconsumer protection e-commerce rules
- LLM Cost Optimisation for Retailconsumer protection rules
- LLM Cost Optimisation for Financial ServicesRBI guidelines
- LLM Cost Optimisation for BankingRBI master directions
- LLM Cost Optimisation for Healthcare & HospitalsDPDP Act 2023
- LLM Cost Optimisation for Education & EdTechDPDP Act 2023
- LLM Cost Optimisation for Media & Entertainmentcopyright law
- LLM Cost Optimisation for TelecommunicationsTRAI regulations
- LLM Cost Optimisation for Logistics & Supply Chaine-way bill compliance
- LLM Cost Optimisation for InsuranceIRDAI regulations
- LLM Cost Optimisation for Professional Servicesprofessional body standards
LLM Cost Optimisation, stack options
We pick per workload. Each page states the honest trade-off.
- LLM Cost Optimisation with Claudemodel
- LLM Cost Optimisation with OpenAI GPTmodel
- LLM Cost Optimisation with Google Geminimodel
- LLM Cost Optimisation with Llamamodel
- LLM Cost Optimisation with Mistralmodel
- LLM Cost Optimisation with AWS Bedrockplatform
- LLM Cost Optimisation with Azure OpenAIplatform
- LLM Cost Optimisation with TypeScriptframework
- LLM Cost Optimisation with Pythonframework
- LLM Cost Optimisation with Vercel AI SDKframework
Questions we get asked
How much can we realistically save?
Most unoptimised systems have 40 to 70% of avoidable spend, concentrated in a few features. The audit tells you the specific number for your workload before you commit to any work.
Will quality drop?
We benchmark before and after on your real tasks. Any change that measurably degrades output does not ship. That is the whole discipline.
How long does the audit take?
About a week for most systems, and it usually pays for itself in the first month after the changes land.
Considering llm cost optimisation?
Tell us the workflow and the constraint. We will tell you honestly whether it is worth building.
Or email bd@dtrasglobal.com · call +91 74118 77878