AI Integration & Software Engineering
AI that works. Software that delivers.
We put AI to work in the systems your business already uses and automate your team's routine work. We also build custom software and the cloud and data infrastructure behind it – with or without AI.
Three services. Use one, or all three.
They work well together, but none depends on the others. You do not need an AI project to work with us on software or infrastructure.
AI Integration & Automation
Put AI to work where the work already happens.
Assistants that answer from your own documents. Automations that move work between your existing systems. AI connected to the tools your teams use every day. Where a decision needs a person, a person makes it. On your servers or ours.
Custom Software & Platforms
Software that lasts.
Web and mobile applications, SaaS products and internal business systems. Tested while they are built, and documented so your team can run them after handover.
Cloud, Data & Infrastructure
Infrastructure in code, not in someone's head.
Cloud environments described in code, pipelines that release safely, and data your reports and AI can rely on. Monitoring from the start, not after the first incident.
Practical AI
What could AI do for your business?
Start with one problem worth solving. Here are four kinds of solution we can build on your systems, data and workflows.
Knowledge assistants
Your team asks a question in plain language and gets an answer from your own documents, with the sources linked. We decide who can see what before anything sensitive is connected.
Workflow automation
Data moves between your systems without anyone retyping it. Decisions that need judgement stay with your people.
Business intelligence
Ask how the business is performing and get analysis built on your connected data. Every answer shows where its numbers came from, and what it could not see.
AI agents and integrations
AI that carries out a defined task inside your CRM, ERP or other business applications. Before it touches live data, we agree its permissions, limits and approval steps.
Every project starts with an assessment: is it feasible, is the data within reach, and is it worth doing?
Why Tallyca Tech?
Built for one company: yours
No vendor roadmap, no waiting for a thousand other customers to want the same thing. When your process changes, the software changes with it.
Engineering depth
AI only works when the software, integrations and data around it work too. We build all of it.
Your data stays yours
We build so that it can run on your own servers, and we tell you exactly what leaves them.
A clear path to handover
Agreed scope, staged delivery and documentation written for the people who will run it.
Our work
What we have built
A cross-section of our software, data and infrastructure work. Each one shows the client, the solution and the result.
The Tallyca platform
B2B SaaSSoftware & platforms
The Tallyca platform, a multi-tenant operations platform: CRM with stage gates enforced in the database, quoting priced from cost, trade and list anchors, and a governed AI assistant whose outputs stay drafts until a person reviews them.
- TypeScript
- SvelteKit
- Supabase PostgreSQL
- Python / FastAPI
Result: More than 450 API routes in production.
Order and stock planning
E-commerce, mid-market, EuropeanAI & data
Logistics software that decides which incoming B2B order comes first, with algorithmic inventory segmentation and data-driven pricing built in.
- Python
- pandas
- scikit-learn
Result: 24% less slow-moving stock.
E-mobility platform on Azure
E-mobility, enterprise, EuropeanCloud & infrastructure
We brought the Azure estate under Terraform and set automated monitoring to watch API health, partner front ends, location data and transactional email.
- Azure
- Terraform
- .NET
Result: About 80% of incidents caught before a customer reported one.
Cloud-mining platform
Cryptocurrency cloud-mining platformSoftware & platforms
Platform services plus customer and mining-accounting data were part of the work. We also delivered monitoring and integration with the mining hardware itself.
- Python / Django
- PostgreSQL
- CGMiner-compatible APIs
Result: From concept to live operation in 12 months.
From first question to working software
Five stages, the same for every project. AI projects add one rule: prove it on a small pilot before rolling it out.
Discover
We map the problem, the systems involved and the constraints, and agree what success means for the first stage.
Design
We choose the approach and agree the plan. For AI, that means a focused pilot with clear success criteria.
Build
We build and test in agreed stages, and show you working software as we go.
Integrate
We connect the solution to your environment and hand over the documentation and training for what was agreed.
Improve
We measure the results against the goals we agreed, and let real use decide what changes next.
Scope in days, not by feel
Every task carries a day estimate and acceptance criteria. The date is the sum, not a guess.
A price that means something
Fixed price, built from the plan, with the contingency shown. Changes are priced before work starts. Nothing is absorbed silently.
Working software every two weeks
Two-week sprints, each ending in a demonstration of working software. From the first sprint, not the first milestone.
Built to hand over
Decision records, runbooks and guides written as the work is done, so your team can run what we deliver.
One engineering partner for AI, software and infrastructure
Tallyca Tech started from more than ten years on the client side of software that almost fitted. Today it brings AI, software, data and infrastructure engineering together around the problem in front of you. One plan, one team, and a result your people can maintain.
Behind it, a core team and senior specialists with about 90 years of experience between them.
Tell us what you are building and what is in the way.
An AI idea, a product to build or a system to modernise – describe the problem. You will get a scope, a price and a date.