A chain of small AI devices on a desk passing glowing data to one finished system

AI Solutions & Agents

We add AI to the software you already use, so it answers questions, drafts work and handles routine tasks at a cost you can predict.

RemSoft.Dev builds AI that ships to production and works inside the software you already run: agents that use your tools, retrieval over your documents and code, automated workflows, and generative text and image features. We are model-agnostic - OpenAI, Anthropic, Google or open-weight models, chosen per task on quality and running cost. Results include a ~1,000x cut in LLM token cost for a team running four AI coding tools, an AI wellness app whose QA pass rate rose from 15% to 83.8% with 7x lower vision costs, and automated image generation built into a client's product.

Services
RemSoft.Dev Team
RemSoft.Dev Team
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Where do we start? AI discovery

Every AI engagement can open with AI discovery: a short, fixed-scope, paid first step. We look at which use cases pay off, whether they work with your data, whether to build or buy, what the system will cost to run, and which data and compliance constraints apply. You get a written recommendation and an estimate - and a clear no where AI is the wrong answer.

What we build

Every AI system we deliver is one your team can operate: validated outputs, fallback behaviour, usage limits, cost tracking and evaluation sets are part of the deliverable, not an afterthought.

  • Agents & automation Agents that plan and act through your tools and APIs, with human approval where it matters; multi-step workflows that remove repetitive manual work.
  • Retrieval & knowledge systems RAG and GraphRAG over documents, tickets and source code - vector search, full-text search and dependency graphs fused into one ranked answer.
  • AI product features Structured extraction, image analysis and generation, tool calling, coaching and assistant flows - integrated into your product with validation, timeouts and per-user limits.
  • Cost & reliability engineering Provider abstraction, routing across models and runtimes, two-tier vision strategies - the work that turns an expensive prototype into an affordable product.

Measured outcomes from recent AI work

~1,000×

LLM token-cost reduction for a team running four AI coding tools

15% → 83.8%

QA pass rate of an AI wellness app

7×

lower vision costs in the same app

Who this fits

  • Companies that know AI could help but need it working in production, not in a demo
  • Product teams adding AI features to an existing product, in any stack
  • Teams whose LLM bill has outgrown the value it delivers
  • Businesses with repetitive work that an agent could take over under supervision

Why RemSoft.Dev for AI work?

Because we are a software engineering company first. AI features fail in production on the unglamorous parts - validation, fallbacks, cost, integration with the existing system - and those are exactly the parts a team with 200+ delivered projects handles well. See it in practice: image generation built into a client product, RAG-powered auto-replies on social media, an AI wellness app, communication software for people who cannot speak and a ~1,000x LLM cost cut. Need the model on your own hardware? See Private & Local AI.

Case studies from our work

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