Clinical AI
Halden Health
Halden Health$38M+Capital unlocked
520%Engagement lift
27xProgram ROI
61Integrations
Bigger ideas.
Built with AI.
Private agents, tuned models and automation, shipped as one working system.
Start a Build
Forge Core// Release 4.0.2
+1,900 active deployments and 6,400 teams run on our high-performance architecture.
Halden HealthCorvid SystemsMeridian CareTessaro RetailNorthwind SecurityAurelo PharmaHalden HealthCorvid SystemsMeridian CareTessaro RetailNorthwind SecurityAurelo Pharma
Take the busywork off your team's desks. Our private AI turns slow manual work into measurable momentum.
Working software that reads your messy data and hands your teams a decision before lunch.
$61M
Revenue our clients attribute to the automation programmes we built.
MLOPRXNF
12,800 agents in production
5xFaster from pilot to production.
Inference latency
Live processing tuned for enterprise workloads.
Halden Health
The triage agents took support tickets down by a large margin while satisfaction went up.
CTO, Halden Health
Our BuildsOur BuildsOur Builds
Healthcare
Meridian Care
Meridian Care$54M+Capital unlocked
390%Engagement lift
24xProgram ROI
77Integrations
Life Sciences
Aurelo Pharma
Aurelo Pharma$71M+Capital unlocked
280%Engagement lift
16xProgram ROI
48Integrations
Retail & Supply
Tessaro Retail
Tessaro Retail$46M+Capital unlocked
190%Engagement lift
58xProgram ROI
31Integrations
Cybersecurity
Northwind Security
Northwind Security$83M+Capital unlocked
140%Engagement lift
49xProgram ROI
19Integrations
Capabilities
We close the distance between research-grade machine learning and the daily work of your operations teams.
Intelligence shaped to your enterprise.
Start a BuildSelf-directing agent workflows
Data pipelines & retrieval systems
Julian AshworthFounder and Principal Engineer
Where we stand
We believe AI should not just automate tasks but amplify the creative and strategic reach of every person on the team.
Technical rigor paired with careful design: we build systems that solve the problem in front of you and open the next opportunity behind it.
Built for the size you plan to be, not the size you are. Frontier models, wired privately into the stack you already run.
Forge Core 4.0.2
Semantic search across every document store for precise retrieval.
Unified data lakes that give models the full operating context.
Token-aware pipelines tuned for high-speed processing.
Multilingual deployment with support for 90+ languages.
ExperiencesExperiencesExperiences
Enterprises that run on the neural architectures and agent workflows we build for them.
PAHalden Health
They rebuilt our retrieval layer in six weeks and the answers finally cite the right documents. Our analysts trust it now.
Priya AnandCTO, Halden Health
TEMeridian Care
Rare combination: deep model work and a team that actually ships. The agent pipeline went live ahead of the board date.
Tomas EkbergVP Engineering, Meridian Care
ROTessaro Retail
The forecasting agents cut our manual reconciliation hours by roughly half in the first quarter. Nobody misses the spreadsheets.
Renata OkaforHead of Data, Tessaro Retail
DWNorthwind Security
We got a roadmap we could defend to finance, not a demo. Every phase had a number attached to it.
Daniel WhitcombeLead Developer, Northwind Security
PAHalden Health
They rebuilt our retrieval layer in six weeks and the answers finally cite the right documents. Our analysts trust it now.
Priya AnandCTO, Halden Health
TEMeridian Care
Rare combination: deep model work and a team that actually ships. The agent pipeline went live ahead of the board date.
Tomas EkbergVP Engineering, Meridian Care
ROTessaro Retail
The forecasting agents cut our manual reconciliation hours by roughly half in the first quarter. Nobody misses the spreadsheets.
Renata OkaforHead of Data, Tessaro Retail
DWNorthwind Security
We got a roadmap we could defend to finance, not a demo. Every phase had a number attached to it.
Daniel WhitcombeLead Developer, Northwind Security
Two minutes inside the studio: how our engineers pair with the models they train, and why every build starts with the people who will run it.
2 min watchIntelligence, engineered.
Our process
From raw signal to working intelligence: how a deployment unfolds.
We map your current stack, data ownership and the hand-offs where people move between disconnected tools, then rank the automation candidates by measurable upside.
Connector plan, retrieval design, evaluation set and guardrails, written down before a single agent is deployed.
A working pilot on your infrastructure with real data, reviewed weekly with the people who will use it.
Monitoring, rollback paths, cost controls and a training plan so the system keeps improving after we leave.
We do not just ship code, we ship an operating advantage. Every step is designed so your AI infrastructure stays future-proof and scalable.
Start NowOne studio of engineers, designers and researchers shipping applied AI that survives contact with production.
Lab rigor on the way in, production discipline on the way out.
Our Story
Maren LindqvistMachine Learning Lead
Elliot SatoDesign Principal
Ines FerranteSenior Research Scientist
Noor HaddadPlatform Architect
PricingPricingPricing
MonthlyAnnually(two months free)
Four plans that grow with the workload. The price on the card is the price on the invoice.
Pilot
$448/mo
USD, annual billing
One workflow, automated end to end.
Get started- Three automated workflows
- Managed retrieval index
- One admin licence
- Community support
Team
$1,112/mo
USD, annual billing
Agents working across a department.
Get started- Ten automated workflows
- Private vector hosting
- Five admin licences
- Priority email support
Studio
$2,600/mo
USD, annual billing
An architecture built around your stack.
Get started- Unlimited workflows
- Bespoke model tuning
- Fifteen admin licences
- Shared channel, same-day replies
Sovereign
$6,720/mo
USD, annual billing
Your own models, on your own metal.
Get started- Full model stack
- On-premise deployment
- Unlimited licences
- Named engineer on call
Questions, answered
Straight answers on specifications, deployment timelines and how we handle your data.
Everything you need to know before we build.
Talk to UsEverything runs inside your own cloud account or on-premise cluster. We work with self-hosted vector stores and models, and nothing leaves your network boundary without a written exception.
A discovery sprint takes two weeks. Most first deployments land in six to ten weeks depending on how many source systems need connectors and review gates.
Yes. We connect through your existing APIs, event streams and warehouses rather than replacing them, and we hand over the connectors as documented code.
When it moves a metric. We start with retrieval and orchestration, then fine-tune only the components where a custom model beats a general one on your evaluation set.
Every phase is tied to an operating metric you already track, such as handling time, error rate or throughput, and we report against it monthly.
You do. Everything we build is delivered under your repository and your licences, with no runtime dependency on us.
Open-weight models for on-premise work, plus the major hosted providers where the data policy allows. We pick per workload, not per preference.
InsightsInsightsInsights
Field notes from live deployments: architecture write-ups, evaluation results and the playbooks our leads hand to clients.
Browse insights
