Solutions

Six practices.One company.

Most engagements start inside one of these and quietly borrow from two more before they ship. That is why they live under one roof rather than at three vendors.

Practices
6
To first release
14 days minimum
First reply
One working day

One stream, one thing in it worth keeping

014 to 10 weeks

Enterprise Suite

CRM and ERP that stop behaving like two companies.

Most teams do not need another platform. They need the two they already pay for to agree on what a customer is. We build the layer in between, then put retrieval and reasoning on top, so a question about an account is answered once instead of four times.

What we build

  • Bi-directional CRM and ERP sync, with conflict rules you can read
  • Custom modules where the vendor's stop short of your process
  • Quote to cash, automated end to end
  • One deduplicated record per customer, and the migration to get there
  • Plain-language reporting that spans both systems

Typically built on

  • Salesforce
  • SAP
  • HubSpot
  • Odoo
  • PostgreSQL
  • Temporal
023 to 6 weeks

AI Marketing & Outreach

Outreach that reads the room before it opens its mouth.

Sending the same paragraph to four thousand strangers is why nobody answers any more. We build outreach that researches the account first and writes from what it found. Volume stays flat. The response rate is the number that moves.

What we build

  • Account research and enrichment pipelines
  • Message generation grounded in real, checkable signals
  • Reply classification, routing and escalation to a human
  • Evaluation harnesses so a campaign is measured, not felt
  • CRM write-back, so nothing is ever typed twice

Typically built on

  • Claude
  • OpenAI
  • HubSpot
  • pgvector
  • n8n
  • Postgres
036 to 12 weeks

Computer Vision

Something that watches the line without getting tired.

A camera already points at the thing you care about. What is missing is attention that does not drift at hour six. Trained on your defects, evaluated against your real rejects, and explicit about the cases it cannot call.

What we build

  • Defect and anomaly detection tuned to your reject sheet
  • OCR on surfaces nobody designed to be read
  • Counting, tracking and dwell analysis
  • Edge deployment on existing cameras and hardware
  • A labelling and retraining loop your own team can run

Typically built on

  • PyTorch
  • ONNX
  • OpenCV
  • TensorRT
  • Jetson
  • Python
042 to 8 weeks

Server & System Design

The part that has to be awake at three in the morning.

Novel models, conventional infrastructure. We design the machinery underneath: the queues, the failovers, the thing that decides what happens when a GPU disappears mid-job. Your system should be interesting for what it decides, not for whether it stayed up.

What we build

  • Reference architecture and an honest capacity plan
  • Inference serving, batching and GPU scheduling
  • Event-driven pipelines with replay, not just retries
  • Observability, alerting and runbooks a new hire can follow
  • On-premise, cloud, or the awkward mix you actually have

Typically built on

  • AWS
  • Docker
  • Kubernetes
  • Temporal
  • Postgres
  • Grafana
054 to 12 weeks

Custom Software

Software for the process nobody sells a product for.

Some work fits no platform, because the process is yours alone and it is how you compete. We build it from the ground up: a data model shaped to the work, an interface your team runs without training, and code you own outright.

What we build

  • Internal tools and operations platforms
  • Customer-facing web and mobile applications
  • APIs and services around your own data
  • A replacement for the spreadsheet a process outgrew
  • Legacy modernisation without stopping the business

Typically built on

  • TypeScript
  • Next.js
  • Python
  • FastAPI
  • PostgreSQL
  • AWS
063 to 8 weeks

Business Intelligence

The numbers you decide on, in one place, and agreed on.

Most reporting is assembled by hand from systems that disagree, and arrives after the decision it was for. We build the pipelines, one model of the business and the dashboards on top, so the Monday number is already there and everyone reads the same one.

What we build

  • Pipelines from every system that holds a number
  • One warehouse model, with definitions finance will sign off
  • Dashboards built around the decisions they support
  • Alerts when a metric moves, not a month later
  • Plain-language questions over the warehouse

Typically built on

  • Snowflake
  • PostgreSQL
  • dbt
  • Power BI
  • Metabase
  • Python
Capability index

The specific thingswe actually build.

Automate

  • Document intake & extraction
  • Reconciliation and matching
  • Multi-step approval routing
  • Report generation & distribution
  • Inbox and ticket triage
  • Data entry elimination

Integrate

  • ERP to CRM bridges
  • Legacy API wrapping
  • Warehouse unification
  • Event-driven sync
  • Identity & access mapping
  • Migration-free adapters

Intelligence

  • Hybrid retrieval over private corpora
  • Agentic task decomposition
  • Structured output pipelines
  • Evaluation & regression suites
  • Ranking and prioritisation
  • Natural-language interfaces
Between two of these

If you cannot tell which of these you need, that is the usual case. Describe the problem rather than the category, and we will tell you which one it is, or that it is none of them and who to call instead.