What we do

We build
agents

From autonomous agents to real-time personalization, one team designs, builds, and operates every capability here, then combines them into the systems your business runs on.

Capabilities

Five disciplines we build and run.

Every one solves a real business problem and holds up in production.

agent · looplive
planretrieveacthumansynthesize
plans, retrieves, acts, checks with a human, then answers
01

Agentic & Language AI

Assistants that answer straight from your data, and agents that plan and act on it.

What you get

  • Your team gets answers pulled straight from your own data, no digging required.
  • The repetitive, multi-step work runs itself, so people spend time where it counts.
  • Anything risky still waits for a human to sign off, so you can trust what goes out.

How we build it

  • RAG & grounding

    Answers cited to your data, not the open web.

  • Tool & API calling

    Agents that operate your real systems to finish a task.

  • Multi-agent orchestration

    Planner–worker graphs that decompose long tasks.

  • Human-in-the-loop

    Approval gates on high-risk actions.

  • Evals & guardrails

    Harnesses that hold behaviour in production.

LangGraphVertex AIpgvectorAnthropic / OpenAI
vision · detectlive
person · 0.98vehicle · 0.91sign · 0.87
detects, tracks, and labels every frame
02

Computer Vision

Real-time detection, tracking, and inspection, in the cloud or right on the edge.

What you get

  • Defects get caught the moment they happen, before anything ships.
  • It runs right on the floor, with no cloud lag and no data leaving your site.
  • Your inspectors spend their time on the real exceptions, not the routine checks.

How we build it

  • Detection & classification

    Find and label what matters in every frame.

  • Multi-object tracking

    Follow many objects through dense, fast scenes.

  • Segmentation & inspection

    Pixel-level quality checks on the line.

  • Edge optimization

    Quantized to run on Jetson, not only the cloud.

PyTorchNVIDIA JetsonTensorRTOpenCV
forecastlive
anomalyforecast
learns the history, projects ahead, flags the outliers
03

Machine Learning & Predictive Analytics

Custom models that forecast, catch anomalies, and sharpen everyday decisions.

What you get

  • Plan against demand and supply you can forecast with confidence.
  • See failures and anomalies coming well before they cost you.
  • Your day-to-day operational calls come back optimized, not guessed.

How we build it

  • Time-series forecasting

    Demand, supply, and load you can plan against.

  • Anomaly detection

    Catch outliers and failures before they cost you.

  • Optimization

    Operational decisions solved under real constraints.

  • Retraining loops

    Continuous evaluation so accuracy doesn't drift.

BigQueryPyTorchXGBoostMLflow
pipelinelive
intakedecidedeliverescalate
intake to decision to delivery, hard cases escalate
04

Workflow Automation

Reliable pipelines with LLM judgment dropped in exactly where it counts.

What you get

  • The manual handoffs that slow everything down simply go away.
  • Every step stays auditable and reversible.
  • Your people only step in for the hard cases.

How we build it

  • Orchestration

    Reliable, observable pipelines across your systems.

  • LLM decision steps

    Reasoning applied precisely where rules can't reach.

  • Human escalation

    The hard calls routed to a person, not guessed.

  • System integration

    Wired into the tools and data you already run on.

OrchestrationLLMsQueuesWebhooks
rankinglive
010.96020.84030.71040.58
scores every candidate and ranks by intent
05

Personalization Engines

Recommendations and ranking that read each user's intent in real time.

What you get

  • Every user sees what they're most likely to want next.
  • It adapts in real time as behavior shifts, instead of overnight.
  • Engagement and conversion climb, measured against real holdouts.

How we build it

  • Recommenders

    Surface the right item for each user, continuously.

  • Learning-to-rank

    Order what's shown by predicted intent.

  • Embeddings

    Represent users and items so relevance generalizes.

  • Real-time signals

    React to behaviour as it happens, not overnight.

RankingEmbeddingsFeature storeRealtime

Beyond the five

Don't see what you need?

The problems that don't fit a box are the ones we like most. Tell us what you're up against and we'll build the system for it.