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Acmez Technologies Pvt. Ltd.

About Acmez Technologies

An enterprise technology company built on engineering discipline, security-first thinking and long client relationships.

About Acmez

Technology services built for enterprise impact

Consulting, engineering, cloud, security, digital growth, AI, data and managed operations.

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View All Services

Technology solutions for modern organisations

Transformation, applications, cloud, security, integration, operations and dedicated teams.

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Explore All Solutions

Acmez product catalogue

Enterprise suites, vertical SaaS platforms, connected modules and focused operations products.

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AI, Data & Intelligence

LLM-Powered Agents

LLM-Powered Agents within our generative ai & llm engineering services, scoped after a short discovery conversation.

Generative AI & LLM Engineering Service capability

Capability overview

What llm-powered agents involves

LLM-Powered Agents within our generative ai & llm engineering services, scoped after a short discovery conversation.

LLM-Powered Agents delivery workshop

How we work

How we deliver llm-powered agents

Identify high-value use cases

Candidate use cases scored on business value, data availability, risk and effort, with one or two chosen for a first release.

Prepare data and guardrails

Data access, quality checks, privacy controls and the rules for what the system may and may not do, agreed before any model is built.

Build proof of concept

A working prototype on real, representative data, built in weeks rather than months, to test whether the idea holds.

Evaluate with real cases

Accuracy, failure modes and user acceptance measured against a labelled test set and reviewed with domain experts.

Deploy with monitoring

Production rollout with drift, quality and cost monitoring, human escalation paths and a schedule for retraining or re-evaluation.

Related capabilities

Related capabilities in Generative AI & LLM Engineering

Prompt Engineering

Systematic design, testing and versioning of the instructions that drive language model behaviour, so outputs are accurate, consistently formatted and stable when models or inputs change.

LLM Integration

Adding large language model capabilities to existing applications through provider APIs, handling streaming, structured output, rate limits, retries, data redaction and switching between providers.

Model Fine-Tuning

Adapting language models to your tasks, terminology and output formats with supervised fine-tuning and parameter-efficient methods such as LoRA, when prompting and retrieval are not enough.

Vector Database Solutions

Selection, design and operation of vector databases for AI search and retrieval, from pgvector inside PostgreSQL to dedicated engines such as Qdrant, Weaviate, Milvus or Pinecone, tuned for recall, speed and cost.

Next step

Discuss llm-powered agents with Acmez

Share what you need to change, build, integrate or support. We will map the practical next step.