What AI development services does Lexis Solutions offer?

AI agents and multi-agent systems, AI-native web and mobile products, RAG knowledge systems, AI-powered internal tools, and AI governance and evaluation. We build the data pipelines, integrations and interfaces around them too, so one team owns the whole system.

Which AI models do you work with?

We work with Anthropic (Claude), OpenAI, Amazon Bedrock, Google Vertex AI and xAI, and choose the model per task based on answer quality, latency, cost and where your data may be processed. We build so the model can be changed later.

Do you train custom models?

We do not train foundation models from scratch. We build on existing models, and fine-tune only where it measurably improves results over prompting and retrieval.

How quickly can we start?

For a focused automation, our 14-day AI workflow takes one use case and one data source to production for a fixed fee of €2,000–€5,000. Larger systems start with a scoping call.

AI development, from first agent to production

We design and build AI agents, AI-native products and knowledge systems for teams in Europe and North America - including the data pipelines, integrations and controls that make them work outside a demo.

Discuss your project See results

How it works05 steps

Use caseOne workflow, one owner
Data & toolsAPIs, documents, warehouse
AI layerModel chosen per task
ControlsAccess, evals, logs
In productionMeasured and improved

AgentsRAGEvaluation

Our AI services

Pick the problem you want solved

Results from our case studies

82%

cost reduction

Finansi.bg case study →

62%

of real questions answered better than native NL2SQL

Barton Malow case study →

99.8%

faster order booking

Onno Plus case study →

Selected work

Built for clients, running today

62%of real questions answered better than native NL2SQLGoverned Enterprise AI Assistant Replacing BI Ticket QueuesRead the case study

82%cost reductionFinansi.bg Leveraged AI to Transform Financial Data Processing, Achieving 250k Users in Just One YearRead the case study

Emil PopovManaging Director, Kreston Bulmar

All case studies

How we work

From first workflow to production

01
Pick the use case
One workflow with an owner and a result you can measure.
02
Prove it on real data
A working prototype against your inputs, with its cost per task.
03
Build for production
Integrations, evaluation, access control and monitoring.
04
Measure and extend
Compare against the baseline, then take the next step.

An AI core connected to documents, an application and a shield representing production controls

Is it a fit?

Who we build this for

A good fit if you have

A workflow with volume and a clear owner
Data you can reach through APIs, documents or a warehouse
A team that wants one partner for AI, backend and interface

Probably not for

Training a model from scratch
Classical statistics or forecasting
“Add AI somewhere” with no owner or outcome

Technologies we use

Claude
OpenAI
Amazon Bedrock
Google Vertex AI
xAI
Model Context Protocol
Vercel AI SDK
Mastra
TypeScript

FAQ

Questions we often hear

Something else on your mind? Ask the engineers who would build it.

Ask us directly

Let’s talk about your project

Tell us what you are working on, and the engineers who would build it will get back to you.

AI development, from first agent to production

Pick the problem you want solved

AI agents & multi-agent systems

RAG & knowledge systems

AI-native products

AI-powered internal tools

AI governance & evaluation

Claude development

Built for clients, running today

From first workflow to production

Pick the use case

Prove it on real data

Build for production

Measure and extend

Who we build this for

A good fit if you have

Probably not for

Technologies we use

Questions we often hear

Build an AI Workflow

Web Scraping & Data

Certificates

Let’s talk about your project