SoftHyper AI

Intelligence with a bearing.

We ship operational AI — LLM systems, models, and agents that survive production, hold up to audit, and move the numbers you actually watch.

Operational AI — not demo-ware.

Live inference5 layers · 32 nodes · 4 bearings
PyTorchTensorFlowLangChainRAGvLLMVector DBsOpenCVLangGraphOpenAILlamaHugging FaceMLOpsPyTorchTensorFlowLangChainRAGvLLMVector DBsOpenCVLangGraphOpenAILlamaHugging FaceMLOps

The bearing

Four bearings. One standard of intelligence.

01 · Durable

Built to survive production

Serving infrastructure with headroom, drift detection, and automatic recovery — models that don't break under load or quietly decay.

  • Serving with headroom and failover
  • Drift detection and auto-recovery
  • Graceful degradation, never downtime

02 · Precise

Accurate where it matters

Honest evaluation, fine-tuning on your domain, and RAG grounded in your own data — precision that is measured, not claimed.

  • Evaluation gates before anything ships
  • Fine-tuned on your data, not the internet
  • RAG grounded in your sources

03 · Accountable

Intelligence you can audit

Safety guardrails, lineage on every decision, and humans in the loop where it counts — every prediction leaves a trace you can explain.

  • Guardrails on every path
  • Full lineage on decisions
  • Human-in-the-loop where required

04 · Measurable

KPIs, not vibes

Every system ships with a success metric and a number — cost per outcome known, improvement tracked in data, not promises.

  • Business metrics wired to every model
  • Known cost per outcome
  • Improvement driven by measurement

What we ship

Four disciplines. One thinking system.

Capabilities built to work together — from LLM systems to computer vision and agents, on a data layer that stays honest.

LLM Systems

Production LLM applications with retrieval, grounding, and guardrails — from copilots to document intelligence.

LangChainRAGVector DBsvLLMPrompt guardrails

ML Engineering

Data pipelines, training, and evaluation that produce models tuned to your domain — not the internet's.

PyTorchTensorFlowJAXONNXMLflow

Computer Vision

Detection and measurement on real-world imagery — factories, warehouses, and clinical settings.

OpenCVYOLOCLIPLabel StudioMediaPipe

AI Agents & Automation

Agents that do real work across your systems — with clear boundaries and humans in the loop.

LangGraphAutoGenMCPHuman-in-the-loopReAct

How we work

From problem to production, in four moves

Frame the problem

We define the operational needle — what to predict, what success looks like, and which baseline to beat. No demo-ware.

Data & evaluation

We assemble datasets, build evaluation sets, and lock the metrics that will decide whether the system ships.

Build & fine-tune

We train, fine-tune, and retrieve — iterating with your team until the model beats the baseline on real data.

Deploy & monitor

We ship the model into your workflow with serving, drift alerts, and guardrails — then keep improving it.

Ready to build systems that think?

Tell us the operational needle. We'll show you the data, the model, and the path to production.