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
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Lesson 3: System access is a hard constraint

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Agentic AI

Lesson 2: Why data without context is worthless

Traditional software runs on rules an engineer writes. AI works the other way around: it is shown inputs and outcomes and must infer the…
Agentic AI

Top 10 providers of AI Agents in predictive maintenance

Predictive maintenance has real problems. Data is fragmented. Rare failures are hard to predict. Systems do not talk to each other. Teams…
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