Internal Knowledge Assistant
A logistics company deployed a RAG-powered assistant that answers staff questions from 12,000 pages of operational documentation, cutting average query resolution time from 15 minutes to 30 seconds.
AI & Automation
AI Development
AI that does real work, built properly.
Custom AI systems designed for production use. We build LLM-powered applications, RAG knowledge assistants, autonomous AI agents, computer vision pipelines, and predictive models that solve specific business problems and run reliably at scale.
TDS · ServiceAI & Automation
Overview
Custom AI systems designed for production use. We build LLM-powered applications, RAG knowledge assistants, autonomous AI agents, computer vision pipelines, and predictive models that solve specific business problems and run reliably at scale.
Capabilities
What we deliver
- 01
LLM Applications
Custom applications powered by large language models, fine-tuned for your domain and integrated into your workflows.
- 02
RAG Knowledge Systems
Retrieval-augmented generation systems that give AI accurate, up-to-date answers from your own data.
- 03
AI Agents
Autonomous agents that reason, plan, and execute multi-step tasks using your tools and data sources.
- 04
Computer Vision
Image and video analysis systems for quality inspection, document processing, and visual data extraction.
- 05
Predictive Models
Machine learning models that forecast demand, detect anomalies, and surface patterns in your operational data.
- 06
Model Integration
Connecting the right AI models to your existing systems with proper error handling, monitoring, and fallbacks.
Outcomes
What this looks like when it lands.
We measure success in business terms, not lines of code shipped. These are the outcomes our clients see when this service is delivered well.
Hours of manual knowledge work reduced to seconds
Staff freed from repetitive analysis and data lookup tasks
Faster, more consistent decisions backed by your own data
New capabilities that were previously impossible without AI
Our approach
How we deliver it.
- 01 · Scope
Define the problem, the data available, and what success looks like in measurable terms.
- 02 · Prototype
Build a working proof of concept in weeks, not months. Test with real data early.
- 03 · Harden
Add error handling, monitoring, edge case coverage, and security controls for production use.
- 04 · Deploy
Ship to production with proper infrastructure, logging, and performance baselines.
- 05 · Iterate
Monitor real-world performance and continuously improve accuracy and reliability.
Tools & technology
The stack behind the work.
We pick the right tool for the job, not the loudest one. Here are the platforms and technologies we most commonly draw from for this service.
- OpenAI
- Anthropic
- LangChain
- LangGraph
- Pinecone
- Weaviate
- Hugging Face
- Python
- FastAPI
- PostgreSQL
Use casesPENDING: ANONYMISED
Real scenarios we have solved.
Case · 01 Case · 02 Automated Document Review
A professional services firm uses computer vision and LLM analysis to extract key terms from incoming contracts, flagging non-standard clauses for human review automatically.
Case · 03 Demand Forecasting Agent
A retail distributor runs a predictive model that forecasts weekly stock requirements across 200 SKUs, reducing overstock waste by 23% in the first quarter.
Related services
Often delivered together.
Next step
Ready to talk ai development?
Book a free discovery call. Tell us what you are trying to achieve and we will tell you whether this is the right fit.
Book a Discovery Call30 minutes · no pitch