Service
We build AI and data systems that run in production — on-premises, in air-gapped environments, and in regulated industries where data never leaves your control. We have deployed the first production AI system in Czech law enforcement.
Production AI in Czech law enforcement
Government ministries served
In-house engineers, architects & DevOps
Security & quality certifications held
Sensitive, classified, or regulated data rules out sending prompts to OpenAI or any external API. You need AI that runs on your own infrastructure, with data that never leaves your control.
A notebook or demo works in isolation, but latency, accuracy, security, and operations block the path to real users. You need it productionized to your standards.
Contracts, filings, records, and reports pile up faster than people can read them. You need reliable Czech NLP and search over your own private corpora.
We evaluate each AI use case against production constraints first — latency, data residency, compliance, and maintainability. We don't sell AI projects; we build systems where AI adds real value.
We assess each AI use case against production constraints first — latency, data residency, accuracy targets, compliance, and maintainability — and recommend only where AI adds real value.
We work with your data to build a scoped proof of concept with measurable evaluation criteria, so you can see real accuracy on your own material before committing to production.
We harden the validated approach into a production system — secure deployment on-premises or in the cloud, integration with your stack, and the latency and reliability real users need.
We monitor quality, drift, and performance in production, run the system under agreed SLAs, and retrain or tune as your data and requirements evolve.
We deploy LLMs and ML systems on your own infrastructure, including fully air-gapped environments. No dependency on a public AI API to function.
We design so sensitive data stays within the EU, the Czech Republic, or your own walls. Open models and private deployments mean nothing is sent to a third party.
We build document processing and language models that handle Czech morphology, legal and administrative language, and domain terminology — not an English pipeline bolted onto Czech text.
We don't sell AI projects for their own sake. We deployed the first production AI system in Czech law enforcement — we ship systems that run, not demos that impress.
Best for: validating whether AI works on your data before committing to production.
Fixed price for a scoped proof of concept with agreed evaluation criteria.
Low-risk entry point; you get measured accuracy on your own data and a clear go/no-go.
Best for: a validated use case with a well-defined path to deployment.
Agreed price for an agreed scope, billed by milestone.
Budget certainty from PoC to a deployed, monitored production system.
Best for: ongoing AI and data work that needs a stable, committed team.
Monthly rate for a ring-fenced team of ML engineers, data engineers, and DevOps.
A team that works as yours, with Softopus accountable for delivery and quality.
Document processing, decision support, and EU/CZ data residency.
Air-gapped AI for classified and sensitive environments.
Sensitive data, GDPR, and on-premises deployment.
Auditability, traceable decisions, and regulatory supervision.
Predictive analytics on operational and critical-infrastructure data.
Models and data can be hosted within the EU or the Czech Republic, so AI workloads stay inside the jurisdiction your regulation requires.
We run open models entirely on your own infrastructure, with no dependency on external AI APIs — suitable for classified and fully isolated environments.
Data protection is built into the pipeline, and AI-assisted decisions are logged and traceable so your audit can review how an output was produced.
Not unless you want it to. We can run open models entirely on your own infrastructure — on-premises or air-gapped — so prompts and data never reach any external API. Where a cloud model fits your compliance, we design data flows you fully control.
It depends on your data sensitivity, latency, and compliance. Sensitive or classified data points to on-premises or air-gapped open models; less regulated workloads can use cloud AI cost-effectively. We evaluate the trade-offs with you before committing.
We define measurable evaluation criteria up front and test against your own data during the PoC. You see real accuracy on your material — not vendor benchmarks — before anything goes to production, and we monitor quality continuously after launch.
Through a fixed-price PoC. We scope a single use case, prove it on your data with agreed criteria, and give you a clear go/no-go — so you only commit to production once the value is demonstrated.
We help organizations design, deliver, and evolve mission-critical information systems. Let's talk about how we can help your project too.
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