01Introduction

Your AI roadmap fully shipped

We design, build, and operate AI-native custom software, agents, automations, and data pipelines, working closely with your teams.

accepting projects · [email protected]

A Alice

How reliable are warehouse ops today?

CN Concierge

Reliability and spend data sources pulled from Studio and Ops.

DM Data Miner

Dynamic dashboard published live

With AI systems close to your operating context, we ship better, faster, at a fraction of the cost.

02How we engage 4 stages

01 Scope →

Agree on the outcome, success metrics, and system boundary.

↳ Brief, metrics, architecture

02 Design →

Data model, ML approach, agent behaviour, integrations, UX. You review and sign off.

↳ System design, prototypes

03 Build →

Forward-deployed engineers ship the system with visible progress and clear decisions.

↳ Working system, docs

04 Operate

We support and maintain the system. Handover is also possible.

↳ Support, maintenance, optional handover

03What we build end-to-end, AI-native

Alive Engine

Deploy, configure, operate, cloud or on-prem

Custom AI agents

Slack, Teams, in-product

Custom software

Web apps, tools, integrations

Custom workflow

Recurring work, fully shipped

AI inference server

Open-source models, GPU, cloud or on-prem

AI / ML & Data

Models, pipelines, warehouses, dashboards

Forward-deployed Embedded with your team

End-to-end We ship the whole system

Your stack Cloud, on-prem, or hybrid

Yours to keep Code, models, docs

04Instances

Examples of project shapes we ship.

IDProjectWhat we ship

Custom AI agents

Teammates wired to Slack, Teams, Alive Engine, or your product.

min. 2 days

Role design, tasks, security, data access, permissions, context engineering and memory.

↳ Production-grade agents, connected, outcome measured

Custom workflow

Automations around a recurring outcome.

min. 2 days

Data model, integrations, validations, and notifications around the process your team runs.

↳ Workflow, validations, notifications

Alive Engine POC

A scoped pilot for an Alive Engine deployment, cloud or on-prem.

min. 2 weeks

We deploy and configure an Alive Engine instance with agents and workflows scoped to a real use case, supervised in a workspace connected to your stack.

↳ Ready to use agents and workflows, supervised, intuitive UI

AI inference server

Open-source models served to your team, cloud or on-prem.

min. 1 week

GPU provisioning, model selection, tooling, serving layer, access control, and usage monitoring for your team.

↳ Self-hosted, cost-controlled, ready to use

Custom software

Production web apps, internal tools, and integration layers.

min. 2 weeks

Production-grade software your team relies on, from customer-facing apps to internal tools and integrations.

↳ Production-grade, documented

AI / ML & Data

Models, pipelines, warehouses, and dashboards.

min. 4 weeks

Classical and modern ML, retrieval, ranking, forecasting, and fine-tuned LLMs. Data systems from the ground up: modelling, ELT, semantic layers, anomaly detection, and dashboards.

↳ Trained, in production, dashboards live

* AI tokens and servers are not included. Bring your own keys or we provision them. At delivery, we offer maintenance or handover.

Working system

Production code, integrations, models, and dashboards in your stack.

Review loop

Process for approvals, evaluation, and ongoing improvements.

Documentation

Source, runbooks, decisions, and a next backlog ready for your team.

Support & maintenance

Monitoring, fixes, improvements, and optional handover support.

Start

Send us a brief. We'll come back with a concrete scope.

[email protected] →