Implemented. Governed. Secured.
An embedded engineering pod that takes one high-value AI use case from idea to production, without hiring or overspending.
A free 30-minute call, no obligation.
Onboarding stalls and activation drops.
Upsell stalls against AI-native competitors.
Customers leave for outcome-driven platforms.
"Me-too" roadmaps blur into the market.
Answers grounded in your own documents, with citations you can trust and audit.
In-product copilots that speed up the workflows real users do every day.
Semantic search that finds meaning across scattered, siloed knowledge.
Agentic flows that remove manual steps and move work forward on their own.
Task-completing agents wired directly into your product surface.
Evaluation, observability, and guardrails so quality holds up in production.
Model architecture, training, and the inference stack behind every feature.
Problem framing, evaluation, and the metrics that prove a model actually works.
Wiring models into a real product surface your users actually touch.
Pipelines, deployment, and the monitoring that keeps it running in production.
Pre-built components and patterns that cut weeks off the build.
Bias testing, audit trails, and sign-off baked into every sprint.
Speed shouldn't mean shortcuts. Governance, security, and your IP are protected from the first sprint, not patched in before an audit.
Engineers who've shipped governed AI before, not juniors learning on your budget.
Lineage, controls, and documentation produced as you build, not after.
Access, secrets, and data handling your security team will recognise.
You own everything we build: code, weights, and documentation.
A defined use case, a 90-day clock, and a price that doesn't drift.
This isn't a template. The pod scopes to your highest-value use case and embeds with your existing teams, stack, and compliance requirements.
One high-value use case, taken from idea to production in a single quarter, implemented, governed, and secured as one connected responsibility.
Align on the use case, data, and the metrics that define success, before a line of model code is written.
Stand up the data layer and a working prototype real users can try, not slides.
Productionize with security, governance, and evaluation baked in from the start.
Launch, monitor, and hand off with playbooks your team can run on its own.
Teams that needed to ship AI fast, and did. Here's what partnering with Logiciel felt like from the inside.
I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.
We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.
The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.
The program delivers most for teams ready to put AI in front of real users, and isn't the right call for everyone.
Tell us about the use case you want to ship. We'll pressure-test the opportunity, scope a working agent, and map the 90-day path to production, implemented, governed, and secured as one.
