Production AI that
runs your business
We design, build, and operate intelligent automation systems, from full-stack business automation to AI-powered assistants. Not demos. Not prototypes. Production-grade systems running 24/7.
What We Automate
Real business operations, not gimmicks. We connect to your existing tools and build systems that handle the work you shouldn't be doing manually.
Email & Mailing
Automated outreach, follow-ups, and newsletters. Smart scheduling, personalisation, and analytics. Connect with Mailchimp, SendGrid, or your existing tools.
Customer Service
AI agents that handle enquiries 24/7. Telegram, WhatsApp, email, live chat. Escalate to humans when needed. Reduce response time from hours to seconds.
SEO & Content
Automated content pipelines, keyword research, and competitor monitoring. AI-generated blog posts, social media, and product descriptions that rank.
Payments & Invoicing
Automated invoicing, payment reminders, reconciliation. QuickBooks, Xero, Stripe integration. Reduce late payments, eliminate manual data entry.
Order Management
Automated order processing, inventory tracking, and supplier communication. From order received to dispatched, with no manual intervention required.
Custom AI Pipelines
Bespoke automation for your specific workflows. Data processing, document analysis, reporting, scheduling. If it's repetitive, we can automate it.
How It Works
Three steps from manual chaos to automated operations.
Audit
We deep-dive into your operations, identify what's eating your time, and map out exactly where AI creates value. You get a clear roadmap with ROI estimates.
Build
We design, build, and deploy your automation system. Connected to your existing tools: QuickBooks, Mailchimp, Telegram, your CRM. Tested thoroughly before going live.
Operate
Your system runs autonomously with monitoring and alerts. We optimise continuously, add new capabilities, and provide monthly performance reports.
Our Platform
Purpose-built tools that give you full visibility and control over your AI automation systems.
Springz Dashboard
A real-time operations dashboard for every automation system we build you. Monitor agent activity, track performance metrics, manage tasks, view logs, and control your AI systems from one place.
- Real-time agent monitoring and activity feeds
- Performance metrics and ROI tracking
- Task management and priority queues
- Full session logs and decision audit trails
- Infrastructure health at a glance
Your email campaign sent 234 messages today. Open rate is 42%, up from last week.
AI Desktop Assistant
A desktop widget that lives on your screen and keeps you connected to your automation systems. Ask questions, get status updates, trigger actions, and receive proactive alerts, all from a lightweight always-on companion.
- Always-on desktop overlay with click-through
- Natural language queries about your business data
- Proactive alerts and status updates
- Live transcription for meetings and calls
- Control all your AI systems from one place
Every client gets access to the dashboard as part of their automation package.
Join the waitlist for early access to the desktop assistant.
Production Systems We've Built
Not prototypes. Not demos. Complete systems we have designed, built, and put into production.
Satellite Data Pipeline in Production
A complete production pipeline processing daily satellite data across millions of grid cells. Ingestion, feature engineering, model scoring, and map tile generation all run on a schedule with nobody driving them, and the output is served fast enough to explore interactively.
Forecasting That Retrains Itself
Prediction built as infrastructure rather than as a notebook someone has to run. Data lands, features rebuild, models retrain and score on a schedule, and every output is versioned so a number can be traced back to the inputs and the model that produced it. Drift and data quality are watched, so a silent failure arrives as an alert instead of a bad forecast.
Signal Research and Backtesting
Research infrastructure built to find out whether an edge is real. Point-in-time data assembly so nothing leaks in from the future, walk-forward evaluation rather than a single flattering split, and costs and slippage carried through to the result. The job is to kill weak ideas quickly and size the few that survive.
Automated Engagement at Scale
A multi-stage AI pipeline that runs personalised conversations at volume. It builds context on each contact, drafts in a consistent brand voice, and scores every draft against quality gates before anything reaches a person, with an operator approving what actually goes out.
Human-in-the-Loop AI Routing
The layer that decides what AI should not answer on its own. It catches those cases, packages the full context, and routes each one to a vetted human to finish inside the workflow, handling assignment, SLA escalation, callback delivery, and a single-screen resolver console.
Ask Your Data a Question
An agent that sits on top of the warehouse and answers questions in plain language. It writes the query, runs it, sanity checks the result against what it already knows, and shows its working so an analyst can audit the answer rather than trust it. It also watches the numbers on a schedule and speaks up when something moves that should not have.
On-Device Plastic Identification
A convolutional neural network that identifies plastic polymer types from a single photo and runs on-device in the browser, so it works offline in the field with no server round trip. Trained on cryo-milled real-world litter and validated to production accuracy.
Field Classification and Mapping
A CNN-based classification system that identifies objects from a photo, logs verified GPS coordinates, and turns what field teams collect into structured reports an organisation can act on. Capture, model, and reporting built as one system rather than three.
Autonomous Agent Operations
A platform where multiple AI agents run day-to-day operations together. They monitor systems, surface opportunities, take actions with human approval, and coordinate with each other, backed by durable memory and a live operations dashboard.
Autonomous Characters and Living Worlds
Games built around characters that actually think. Creatures and companions run as their own agents: they read the world in real time, decide, and act, with periodic reflection so their behaviour shifts as they learn. A hybrid model stack keeps routine decisions running locally, so a fully populated world stays cheap enough to leave running.
Agents That Play the Game
An AI agent that plays a live multiplayer world as a character in its own right. It reads the game state, navigates and explores unmapped areas, makes moment to moment combat and survival calls, and holds its own long-term goals across sessions rather than following a fixed script.
AI-Driven Consumer Apps
Consumer products with AI at the centre rather than bolted on afterwards: a companion that lives on the home screen, understands plain speech, and acts on what it hears. Built end to end from the model layer through to the store release, with the work that needs to be private or instant running on the device itself.
What Clients Say
Real clients, real systems, still running.
“Dan did an excellent job building a data-driven algorithm incorporating both heuristic predictions and a feedback loop into a machine learning improvement cycle. His work was thorough, documented very well…”
Dan built a system so seamless, robust and self diagnosing. I would recommend him for any business operations automation, however complex.
Dan built an ML algorithm that accurately identifies microplastics, and used it to develop the roadmap for a microplastics litter picking application. It was truly a pleasure to work with Dan, highly recommend.
Simple Pricing
No hidden fees. No hourly billing. You pay for outcomes, not time.
AI Audit
Understand exactly where AI creates value in your business.
- 2-hour deep dive into your operations
- Written report with ROI estimates
- Architecture diagram of proposed system
- Clear roadmap and priorities
- No obligation to proceed
Build Sprint
We design, build, and deploy one complete automation system.
- Full system design and architecture
- Built and deployed in 2–6 weeks
- Connected to your existing tools
- Monitoring dashboard included
- 2 weeks post-launch support
- Documentation and training
Ongoing Ops
Continuous optimisation and expansion of your AI systems.
- System monitoring and maintenance
- Performance optimisation
- New feature development
- Monthly performance report
- Priority response time
- Scale as your business grows
Need something bigger? Let's talk about enterprise solutions.
Built by an engineer,
not a consultant
I'm Dan, an AI and ML engineer and PhD researcher based in North East England. I build production AI systems that handle real business operations, not slide decks about what AI might do someday.
My work runs from research through to production: geospatial machine learning pipelines serving over 100,000 predictions a day, computer vision models validated to published accuracy, multi-agent orchestration, satellite data pipelines on AWS, AI-driven game systems, and the quiet automation that keeps a business running. The PhD is where the rigour comes from. The client work is where it has to survive contact with reality.
I lead every build end to end. I write the code, deploy the infrastructure, and monitor the systems myself, so when you work with Springz you are working directly with the person who builds your system. No account managers, no offshore handoffs, no gap between what is promised and what is delivered.
357 hours on a single geospatial ML contract, client endorsed for quality, detail and accountability. Full work history and reviews on my profile.
Let's Talk
Tell us what you need automated and we'll get back to you within 24 hours with a free initial assessment.