Applied AI · LLMs · Agentic Systems

We turn frontier language models into software that ships.

TechLifter Consulting is a specialist studio for teams building with AI. We bring deep, hands-on experience with large language models: from translation research and retrieval pipelines to autonomous agents and production MVPs that earn their keep.

Translation Research Agentic AI Implementation MVP Development RAG & Evaluation

What we do

Three disciplines, one engineering standard.

Focused practices that move ideas from research to a running product, with the rigour that LLM systems demand.

01

Translation Research

Domain-tuned machine translation and multilingual NLP, built for the languages, registers, and edge cases generic models miss.

  • Low-resource & domain-specific MT
  • Quality estimation & human-in-the-loop eval
  • Terminology, glossary & style control
  • Fine-tuning & benchmarking pipelines
02

Agentic AI Implementation

Autonomous and tool-using agents that act reliably in the real world, with the guardrails, evals, and observability to trust them in production.

  • Multi-agent orchestration & tool use
  • RAG, memory & context engineering
  • Eval harnesses & guardrails
  • Cost, latency & reliability tuning
03

MVP Development

From whiteboard to a live product in weeks. Full-stack delivery with AI woven in from the first commit, not bolted on later.

  • Rapid prototyping & product shaping
  • Full-stack & cloud-native builds
  • LLM features & data pipelines
  • Launch, measure, iterate

Why TechLifter

Deep in the model layer, fluent in the product.

We have spent years close to the frontier: training, fine-tuning, evaluating, and shipping large language models across translation, retrieval, and agentic workloads. We know where models break, how to measure them honestly, and what it takes to keep them dependable at scale.

That research depth is matched by pragmatic engineering. We don't hand over slide decks. We hand over working software, instrumented and ready for your users.

LLM fine-tuning RAG Agents Evals Transformers Vector search Python TypeScript AWS MLOps
10+
Years in AI & ML
LLM
First engineering
15+
Clients across the world
Evals before we ship

How we work

A short path from question to running system.

/ 01

Frame

We pin down the problem, the data, and the metric that actually matters to your business.

/ 02

Prototype

A working slice in days, on real models and real data, so decisions rest on evidence, not opinion.

/ 03

Harden

Evals, guardrails, observability and cost controls turn the prototype into something you can trust.

/ 04

Ship & iterate

We launch, measure in production, and keep improving against the metric we agreed on.

Let's build

Have an AI problem worth solving well?

Tell us what you're building. We'll tell you, honestly, whether AI helps, and how we'd ship it.

Studio

TechLifter Consulting LLP
44, Sector-8, Dwarka
New Delhi 110077, India