We architect, build and operate the systems a business runs on.
Sigel Tech is a software studio for companies that need more than code.
We work full cycle: strategy, architecture, build, and operation. We decide what to build and why, design the shape of the system, ship it, and keep it running as it scales.
Not a staffing shop, not a design agency with a dev department. A partnership of founding engineers who take a system end to end.
Before the build
What to build, and why.
The build
Products, AI, and data.
Into production
Running at real load.
Or mid-stream
Systems already live.
Everything from the idea to the day it carries real load.
Most of our work sits at the seams: where strategy meets architecture, where a model meets an existing process, where a product meets the systems already running the business. That is where projects usually fail, so that is where we start.
Strategy — where the technology should go next, what to build, what to buy, and what it should cost.
Architecture — the shape of the system before it is written: domains, data flow, integration boundaries.
Web & mobile applications — products people use every day, from interface design through to production code, built to be maintained rather than just launched.
Applied AI — applied AI placed inside existing processes, with evaluation and guardrails built around it.
Data & analytics — pipelines, models, and reporting that turn operational data into decisions you can defend.
Cloud & infrastructure — deployment, pipelines, monitoring and the operational layer that keeps a system running once it carries real load.
Most of what we take on is already running. Integrations and automation, legacy modernization, internal tools, and technical due diligence.
AI fails on integration, not on models.
The usual path
The model comes first. The demo sells the project. Integration, evaluation, and fallback get scoped later, often after something is already live.
Where we start
The process comes first. We size the opportunity, integrate into the stack you run, and build the guardrails before anyone sees a demo.
Process mapping and opportunity sizing
Which steps are worth automating, and what the saving is worth.
Integration into systems you already run
Retrieval, tooling and data access inside the existing stack.
Evaluation, guardrails and human review
Built before the demo, not after the incident.
Cost and latency budgets
Numbers that still hold once the feature is in production.
Diagnose, architect, build, operate.
Every engagement runs the same four stages, whatever the size of the work.
Diagnose
We map the system as it actually is: what runs, what it costs, where it breaks and who it blocks.
Architect
A written technical plan: the shape of the system, the sequence of delivery, and the risks named out loud.
Build
Working software every week, deployed early and reviewed with you rather than presented at the end. Tested, documented, and handed over in a state someone else can pick up.
Operate
We stay through scale: monitoring, iteration and the decisions that only appear after launch.
Years of experience behind every engagement, across startups and large organizations.
Strategy, architecture, delivery and operation handled by one team rather than four vendors.
The people who plan the work are the people who deliver it, with no layer in between.
Questions
What kind of engagements do you take?+
Can you work with a system we already have?+
How do you approach AI projects?+
Who is on the team?+
How do you work with clients abroad?+
What does it cost?+
Start with the architecture.
Bring the system, the process or the idea. The first call is a technical conversation. We will tell you what we would do and whether we are the right people to do it.