Slide 1 of 8: Introduction
AI systems & software engineering
We buildsystems thatship.
AI integration, web and mobile builds for businesses entering their next era.
hello@arkhitas.com02 — Capabilities
What we build.
Agentic AI Systems
Multi-agent architectures that carry out real work inside the systems a business already runs — with the auth model, the edge cases and the human approval gates intact.
AI Integration
Connecting LLMs and AI services into existing infrastructure. ERP, CRM, ticketing, internal databases — wired properly, not bolted on.
Custom AI Applications
Internal tools, automated workflows, RAG and knowledge systems built against your data at its real volume and its real quality.
AI Operations
Retained ownership of live systems. Evaluation suites, drift detection, model migration, cost control and a named owner when something breaks.
Local or Cloud Web Applications
Marketing sites, SaaS products, dashboards and multi-tenant platforms. Local, cloud or hybrid, deployed to infrastructure you control.
Mobile Applications
Native and cross-platform apps, built to the same standard as the backend behind them.
03 — Why projects stall
Most AI work dies as a demo.
What usually happens
The prototype impresses in the meeting. Then it meets the real data, the real load and the real permissions model — and nobody owns the part where it becomes software the business can depend on. It quietly stops being mentioned.
Our ethos & what we do
We treat the demo as the first day of engineering, not the last. The four things that strand a prototype are the four things we take responsibility for, in writing, from the start.
- IntegrationIt connects to the systems you actually run, with the auth and the edge cases handled.
- DataReal inputs, real volumes, real quality problems — mapped, cleaned and monitored.
- DeploymentIt ships to production infrastructure, with the environments, secrets and rollbacks in place.
- MaintenanceIt keeps working after launch — versioned, observable, and supported as models and needs change.
04 — Services
Six lines of work.
Named, scoped and priced. Each one stands alone, and each one compounds into the next.
S—01
Agentic AI Systems
An agent is not a chatbot. It is software with authority — and it has to be engineered like it.What this includes
- Decomposing a business process into agents, tools and hand-offs that can be reasoned about
- Integration into ERP, CRM, ticketing and internal databases with permissions preserved
- Human-in-the-loop gates on any decision that moves money, data or legal exposure
- Evaluation suites and regression tests, because an agent that silently degrades is worse than none
Typically 3–9 months · followed by a retained operations agreement
S—02
AI Governance & Assurance
The board now has to sign for the model's behaviour. We build the evidence that lets them.What this includes
- Board-level policy: decision rights, escalation paths, acceptable use, sign-off structure
- Model inventory, risk tiering and validation evidence
- Explainability and traceable output retention for defensible records
- Continuous monitoring for drift and bias, with periodic re-attestation
Typically 6–12 weeks · standalone, or attached to a build
S—03
Vertical AI Builds
Systems that carry the terminology, the workflow and the regulator of one industry — not a generic tool with your logo on it.What this includes
- Domain modelling against how the work is actually done, not how the org chart describes it
- Regulatory and retention constraints designed in from the first sprint
- Integration with the systems of record specific to that sector
- Ontology and retrieval built on your own corpus, matters or production history
Typically 6–18 months · the deepest engagement we take
S—04
AI Operations
Most vendors build and leave. Maintenance is one of the four things we take responsibility for in writing.What this includes
- Evaluation suites run continuously against production behaviour
- Drift, hallucination and regression detection against defined thresholds
- Model migration as vendors deprecate and reprice
- Token and infrastructure cost optimisation
- Incident response with a named owner and an agreed response time
Typically Monthly retainer · the default close on every build
S—05
Data & AI Readiness
The prerequisite nobody sells. Data quality is the single most cited reason AI projects stall.What this includes
- AI readiness and opportunity assessment against your actual systems
- Pipeline, lineage and data quality remediation
- Residency, sovereignty and on-premise deployment strategy
- Retrieval architecture for RAG that survives real volumes
Typically 2–4 months · the shortest way to find out what is really in the way
S—06
Multimodal Systems
Vision, document, audio and video pipelines — for the work where text alone was never the problem.What this includes
- Visual inspection and quality control on production lines
- Document, photo and video intake at claim or case volume
- Scanned document and exhibit processing where OCR alone fails
- Real-time voice intake and support agents, engineered against a latency budget
Typically 2–6 months · often the highest measurable return
05 — Engagement
Three ways in.
01
Assessment
A short, fixed-scope diagnostic. We map your systems, your data and the one workflow worth automating first. You get a written plan whether or not you continue with us.
02
Build
Scoped delivery with integration, data, deployment and maintenance agreed in writing before we start. Fixed milestones, working software at each one.
03
Retained operations
Monthly ownership of live systems. Monitoring, evaluation, model migration, cost control and a named owner. This is how AI stops being a project.
Start with the assessment. It is the cheapest way to find out whether the rest is worth doing.
06 — The name — The concept
Archytas of Tarentum.
Around 400 BC, Archytas founded mathematical mechanics — the principle that physical machines obey mathematical law. Ancient sources credit him with a self-propelled wooden dove, arguably the first flying machine in history. He also solved the doubling of the cube, using a three-dimensional geometric construction.
Tarentum was the only colony Sparta ever founded. Archytas was a Spartan-descended Greek who turned pure theory into machines that ran.
We operate from Sparta, doing the same thing with AI.
Theory into machines that work.
07 — Industries
Industries
Don't see your industry here? No worries!Contact us to put you up there by building your [AI] software.
08 — New business
Let's make
something real.
Tell us what you run, what you want it to do, and where it stalls. A few lines is enough to start — and if we are not the right studio for it, we will say so.
No form, no funnel. The address below reaches the people who would build it.
New business
01—03Or start with the assessment — the cheapest way to find out whether the rest is worth doing.