AI Implementation

AI That Fits How You Already Work

We add AI to the tools and processes you already use. From LLM pipelines to agents, each solution is built around your data and your goals, and tested before it goes live.

Example Pipeline (Demo)
User Query
Input preprocessing + intent detection
input
Router Agent
Selects the right tool or sub-agent
routing
RAG Retrieval
Fetching relevant context from vector DB
retrieving
LLM Call
Generating grounded, structured response
generating
Post-processing
Formatting, validation & delivery
done
EU
Hosting where possible
Evals
Tested before launch
Human
In the loop
Capabilities

What We Build

LLM Integration & Fine-Tuning

We integrate models from OpenAI, Anthropic, Google, and Mistral into your product, and fine-tune when it makes sense for your use case.

OpenAIAnthropicMistralFine-tuning

Agent & Workflow Orchestration

Multi-step agents that plan, call tools, and hand off to a person when needed. Built with LangChain, LlamaIndex, or lightweight custom code.

LangChainLlamaIndexAutogenCrewAI

RAG & Knowledge Pipelines

Retrieval-augmented generation that gives your AI access to internal documents, databases, and live data. Answers come with sources you can check.

Vector DBsEmbeddingsPineconepgvector

Process Automation

Replace repetitive manual work with AI-assisted automation: document parsing, classification, routing, and summaries, with review steps where they matter.

n8nZapierCustom APIsWebhooks

Computer Vision

Image recognition, object detection, OCR, and visual quality checks. We train and deploy custom models for manufacturing, retail, and logistics.

YOLOOpenCVHugging FacePyTorch

NLP & Conversational AI

Chatbots, customer support assistants, sentiment analysis, and text classification, built to handle real-world use.

NLPChatbotsSentimentClassification
Our Process

From Audit to Production

01

Audit & Strategy

We map your current processes, find where AI helps most, and agree on an approach before touching any code.

02

Data & Foundations

Clean, structure, and embed your data. Set up vector stores, retrieval, and evaluation.

03

Build & Test

Build the orchestration layer, prompts, agent chains, and integrations. Evaluate at every stage.

04

Deploy & Monitor

Deploy with logging, cost tracking, and monitoring, then keep improving based on real use.

Examples

Where AI Fits

Finance

Contract review support and risk flagging with RAG and LLM classification.

Retail

Product recommendations and inventory forecasting assistants.

Healthcare

Document handling for intake and summaries, with strict privacy controls.

Logistics

Route planning helpers and exception-handling pipelines.

Legal

Contract analysis, clause extraction, and compliance checks, reviewed by a person.

HR & Ops

Candidate screening support, onboarding flows, and knowledge-base assistants.

Ready to Add AI to Your Operations?

Tell us about your processes and data. We'll suggest the right approach and come back with a concrete plan.

Book a Discovery Call →