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AI & Automation

AI that actually
does the work

We don't ship AI as a feature checkbox. We embed it as a genuine business capability — LLM agents, ML pipelines, and automation that saves measurable time and money.

Typical RAG Pipeline

1

Ingest

PDF, SQL, API, S3

2

Chunk & Embed

OpenAI / local models

3

Vector Store

Pinecone / pgvector

4

Retrieve

Hybrid BM25 + semantic

5

Generate

GPT-4o / Claude / Llama

6

Respond

Streamed to your UI

What we build

AI use cases we've shipped

AI Chatbots & Assistants

Domain-specific LLM agents with RAG, tools, and guardrails — trained on your business data.

Document Intelligence

Extract, classify, and summarise any document type. Contracts, invoices, medical records — automated.

Semantic Search

Vector embeddings + BM25 hybrid search that understands context, not just keywords.

Predictive Analytics

ML models trained on your historical data to forecast demand, churn, and revenue.

Process Automation

Replace repetitive manual workflows with AI agents that trigger, decide, and act autonomously.

Data Pipelines

ETL, feature engineering, and real-time streaming pipelines that feed your models reliably.

< 200ms

Avg LLM response with streaming

40%

Process time saved on average

10+

LLM providers we've integrated

99%

Pipeline uptime SLA

Got an AI idea?

We'll tell you in a free call whether it's worth building and how long it'll take. No AI hype — just honest engineering advice.