AI & LLM Solutions

LLM features, assistants and agents built into real products.

What it is: LLM features, assistants and agents built into real products.
Good for: Products adding AI features, and teams automating document-heavy work.
Typical stack: OpenAI, Claude, LangChain, AssemblyAI, AWS Transcribe, Python

We integrate large language models into products and workflows: retrieval-augmented assistants over your own data, AI agents and automation, and speech-to-text pipelines with PII redaction.

What's included

LLM integration into existing products
Retrieval-augmented assistants over your documents and data
AI agents and workflow automation
Speech-to-text and clinical-note generation with PII redaction
Document, resume and data extraction
AI-generated reports and insights

Stack

OpenAI
Claude
LangChain
AssemblyAI
AWS Transcribe
Python

Good for

Products adding AI features, and teams automating document-heavy work.

Scope AI & LLM Solutions with us

AIWeb application
Persona AI
AI tool for researchers' meeting recording and analysis.
HealthcareWeb application
Aivida AI
AI & ML Solutions for Healthcare and Business intelligence.
EducationWeb application
LearnEZ AI
An all-in-one, AI-powered academic productivity suite for students.
HealthcareSaaS
AI medical scribe SaaS platform
We rescued and rebuilt an AI medical scribe for clinicians: it records encounters, transcribes them and generates editable, specialty-specific SOAP notes with ICD-10 codes. Alongside a React front end, subscription billing and video-meeting ingestion, we set up a secure AWS platform with encrypted storage, queued processing and automated API tests.
MarketingSaaS
AI-powered conversion-optimisation agency platform
Extended an e-commerce optimisation agency's internal AI platform with real-time test-data sync, prioritisation and sprint planning, automated client slide decks, LLM research agents and embedding-based retrieval groundwork, and cut the LLM cost of its review-mining pipeline.
MarketingSaaS
AI sales-outreach automation SaaS for CRM users
We designed and built an AI sales-automation SaaS that plugs into a CRM and runs outreach end to end: an LLM agent writes and follows up on emails, leads are enriched, calls are recorded and transcribed, and everything threads back into the CRM. We delivered design, front end, event-driven backend and cloud infrastructure through to production.

From the blog

22
SEP
RAG vs fine tuning: how to add an LLM to your product
RAG vs fine tuning: which should you use to add an LLM to your product? A plain guide to choosing, and to the production work each approach really needs.
AI & Automation6 min read
04
AUG
Shipping AI features into real products
Patterns that repeat across the AI products we've built: transcription pipelines, retrieval over your own data, a human kept in the loop, and controls on what the model costs and can see.
AI & Automation3 min read

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