AI Solutions

LLM Development

Custom large language model solutions trained on your domain.

When off-the-shelf models are not enough, we fine-tune and deploy domain-specific LLMs — with curated datasets, evaluation harnesses, and deployment pipelines tuned for your accuracy, latency, and cost targets.

LLM Development
From $35 Advanced Feature & Module

Complex functionality or a complete module. Retrieval, evaluation, and fine-tuning work is quoted per project. Every job is quoted in writing before we start, and the price only moves if the scope does.

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What We Deliver

End-to-End LLM Development

  • Fine-tuning & LoRA adapters
  • Custom tokenizer pipelines
  • Domain dataset curation
  • Benchmark & eval suites
  • Quantization for edge deploy
  • Model versioning & rollback
Why Choose Devlex

Business Outcomes That Matter

✓Higher accuracy on niche domains
✓Lower inference cost vs. frontier APIs
✓Full IP ownership of weights
✓On-premise deployment options
Technologies

Tools & Stack We Use

We pick the right technology for your goals — not the trendiest framework.

  • PyTorch
  • Hugging Face
  • LoRA
  • vLLM
  • AWS SageMaker
  • Python

Our Approach

  1. Discover — Understand goals & constraints
  2. Design — Architecture & UX blueprint
  3. Build — Agile sprints with weekly demos
  4. Launch — Deploy, test & support
0Years of Experience
0Projects Delivered
0Global Clients
0In-house Experts
0Countries Served
0Code Ownership
How We Work

What You Get In Writing

Terms that go into every agreement we sign. See all client commitments.

A Written Price Before Work Starts

Every job gets a scope and a number in writing first — a fixed price for defined work, or an hourly rate with a capped estimate. If scope changes, we re-quote before we build, not after.

You Own the Code

Source code, designs, and data are yours. We work in your repository where possible, hand over full documentation, and transfer everything at the end. No license fees, no hostage situations.

NDA Before You Share Anything

We sign your NDA — or send ours — before the first technical conversation. Your idea, your data, and your customer information stay confidential during and after the engagement.

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