Universe

The capabilities and stack we ship.

We help startups, scaleups, and tech companies drive ROI through hyper-personalization, hyper-automation, and better decision-making with AI and LLM-based software.

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Retrieval 03

  • Question answering

    Provide accurate answers to user queries based on documents or knowledge bases.

  • Semantic search

    Enhance search results by understanding the meaning behind queries, not just matching keywords.

  • RAG

    Combine document retrieval with text generation to provide accurate and contextually relevant responses.

Language 06

  • Text generation

    Generate human-like text based on specific prompts or context.

  • Text summarization

    Generate concise summaries from longer pieces of text while retaining key information.

  • Text classification

    Categorize text into predefined labels or topics based on its content.

  • Information extraction

    Identify and extract key data from unstructured text or scraped web content.

  • Sentiment analysis

    Determine the emotions and attitudes expressed in text or messages.

  • Translation

    Convert text from one language to another while preserving meaning and context.

Agents 01

  • Reasoning

    Perform logical inferences and solve problems based on provided information.

Multimodal 04

  • Text analysis on images

    Identify and process text in images for further analysis and extraction of relevant information.

  • Image recognition

    Identify and classify objects or patterns within images.

  • Speech-to-text (STT)

    Convert spoken language into written text.

  • Text-to-speech (TTS)

    Convert written text into natural-sounding speech.

Generation 01

  • Generative AI

    Create new content, such as text, images, or audio, based on existing data.

Stack

Technologies we use

Selected per engagement — model, retrieval store, and framework follow latency, data residency, and ownership constraints.

01 / 05

Frameworks

Orchestration, APIs, and product shells we wire agents into.

From the blog

Latest articles on AI and LLMs

Practical writing from the engineers who ship the stack above.

All articles
RAG

Is higher accuracy always the goal?

A “minimum 95% accuracy” promise can be worth nothing. An interactive walkthrough of precision, recall and what to ask before any number goes in writing.
Agentic AI

AI agents can act: can you still control them?

Agents that issue refunds need identity, authorisation, approval and audit before the call lands. What an agentic AI control plane is, and when you need one.
Agentic AI

Insurance fraud detection with AI: what works and where it fits

How insurance fraud detection works with AI and agentic systems: text analysis, cross-source correlation, identity screening and real-time claim intake.
Work with us

Ready to put this stack to work?

Book a free 45-minute consultation. We will map one real process worth automating with production-grade AI.

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