From prototype to production

Past the demo, into something that works

Sohgrow designs, builds and deploys LLM applications, RAG pipelines, agents and computer-vision systems for organisations that need AI to hold up in the real world.

What we build LLMsRAGAgentsComputer vision
Sohgrow connected AI platform for LLM applications, RAG pipelines, AI agents and computer vision

Production AI, end to end

From first prototype to deployed system: reliable, auditable and safe, on your infrastructure.

LLM applications

Assistants, copilots and document intelligence built on frontier models, tuned to your domain.

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RAG systems

Retrieval pipelines that ground answers in your data: segmented, reranked, cited and validated.

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AI agents

Autonomous agents that take real actions across your tools, with human approval where it matters.

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Workflow automation

Agentic pipelines that replace repetitive operational work end to end.

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Computer vision

Detection, tracking and phenotyping from standard video. No specialist hardware required.

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Strategy and advisory

Honest guidance on where AI helps, where it doesn’t, and how to start.

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Engineering across domains

A sample of production systems we have designed and shipped, spanning language, vision and retrieval.

Adaptive learning

Grovalin

A personalised learning platform that adapts in real time to how each user processes information, pairing computer-vision engagement signals with LLM-driven content adaptation, deployed on AWS Bedrock.

Computer visionLLMsAWS BedrockAdaptive modeling
Health-tech

Volitiq

Browser-native, markerless motion analysis from standard video. Transformer-based pose modeling extracts fine-grained motor signals and tracks them over time, with no wearables or lab hardware.

Computer visionTransformersLongitudinal modeling
Legal

Case-law retrieval engine

A RAG system for legal research that segments documents into canonical units with GLiNER, reranks for relevance, and uses LLM-as-judge to validate every answer against its source passages.

RAGGLiNERRerankingLLM-as-judge
Compliance

Document intelligence and PII masking

Automated identification, segmentation and redaction of sensitive content across scanned and digital documents, engineered for regulated, high-volume pipelines.

NLPOCRSegmentationEntity recognition

From first call to production

Tell us what you are working on. Here is what happens next.

  1. 01

    Discovery call

    A conversation about the workflow, the data, and what “done” looks like.

    About 30 min, no cost
  2. 02

    Prototype

    A working proof of concept scoped to your real data, so you can see it before committing further.

    1 to 2 weeks
  3. 03

    Production build

    Rebuilt for reliability: evaluation harnesses, monitoring and human-in-the-loop controls, deployed on your infrastructure.

    Weeks, not months
  4. 04

    Support and iterate

    We stay attached after launch: monitoring, retraining and extending as your data and needs change.

    Ongoing
High-stakes domains

Built for sensitive, human-centred work

Some of our most demanding engineering happens where reliability, privacy and human oversight are not optional: healthcare, neurodiversity and regulated data. That discipline carries into everything we ship.

  • Human-in-the-loop controls on the decisions that carry weight
  • Answers grounded in sources, with citations and validation
  • Deployed in the cloud, in your region, or fully on-prem

AutismAI Lab

Our care and neurodiversity programme runs under its own banner: open research and AI tools for autism assessment and intervention, home to the clinical work behind Grovalin and Volitiq.

Visit AutismAI Lab

Have a system that needs to ship?

Tell us about the workflow, the data or the idea. We will show you what is possible in weeks, not months.

Book a call