Some products are live, others open on request, and we build from scratch. Subscription, on-premise licence, POC, or buying the source outright: the model bends to you, not the other way round.
Built to run. Ready to buy.
Every product in this catalogue is built, deployed and usable now. You try it before you sign, you pick how you buy it, and we are still there after go-live.
These guarantees are matched to your actual scope and written into the contract. We never display a certification we do not hold.
The AI Act requires AI systems to be documented, traceable and supervised — particularly those classed as high-risk: recruitment, credit access, justice. Those are exactly the areas we deliver in. Hence choices made at design time rather than patched in afterwards.
Audit logs you can use directly for the technical documentation required.
Mandatory sign-off points on sensitive decisions, built into the product.
Sources cited, limits stated, generated content identifiable as such.
On-premise or EU cloud deployment: your data does not leave your perimeter.
We provide the technical building blocks and the matching documentation. The final classification of your system under the AI Act is your responsibility — we support you through it.
Try the ones that are live right now, ask for a demo on the others. All available as a subscription or installed on your side.
Legal research handed over to autonomous agents.
Statute and case law search, contract analysis, drafting support. Every answer points to the article and to the version in force on the date you care about.
Administrative forms filled in from your own documents.
The agent reads your files, pre-fills the matching French CERFA form and flags inconsistencies between fields. You review, you sign, you got your morning back.
Build your own AI agents without writing a line of code.
Tools, long-term memory, connectors, guardrails and supervision in a single interface. Your teams design an agent in the morning and ship it to production in the afternoon, on your data.
Several agents splitting the work and reviewing each other.
Where a lone agent gets it wrong, a swarm converges: each one handles its share, critiques the others, and the result is consolidated. For large-scale document analysis and tasks that run dozens of steps deep.
The search engine that understands your documents and cites its sources.
Retrieval-augmented search coupled with a knowledge graph, tuned per theme: legal, corporate documentation, timelines. Every answer is traceable down to the original paragraph.
From the idea to the deck, in one pass.
Describe the topic and the audience, attach your PowerPoint template. One agent builds the angle, another hunts dated facts and their sources, a third sets the art direction — then one agent per slide writes in parallel. You get a 16:9 deck in your own brand.
A decision, not a catalogue of options.
The Analyst frames the decision question and three genuinely defensible options — a straw man is useless. One owner works each of them on equal footing, three lenses (CFO, operations, market) challenge them. The business case is recomputed before the meeting, not during it.
Your technical proposal written on your own template.
The agent reads the specification, pulls your past references and writes to your structure and brand guidelines. You move from a blank page straight to review.
Where does your system sit on the risk pyramid?
Describe how you use AI: the swarm breaks it down piece by piece, places it on the pyramid of Regulation (EU) 2024/1689 and outputs your obligations with dates, sourced to the official text. Article 4 already applies, Article 50 lands 2 August 2026, Annex III 2 December 2027.
Retrieval-augmented search coupled with a knowledge graph: the agent does not guess, it retrieves the passage, the entity and the version that justify its answer.
the question is broken down, intent and constraints identified
candidate passages are weighted according to the tuned theme
cited entities get connected, useful relationships surfaced
anything your documents do not support is dropped
written, sourced down to the paragraph, dated, exportable
"Tuned" means the algorithm itself changes with the corpus: passage weighting, amendment tracking, weight given to entities and their links, priority to the most recent version. A planner picks the strategy for each query.
The planner decides on its own, query by query. Use it when the corpus is mixed.
For legal texts and how they change over time.
For corporate documentation, org charts and dependencies between projects.
To reconstruct a sequence of events or find the current state of a file.
Other tunings exist, and we build new ones for your specific corpora.
The engine indexes and queries corpora in several languages at once — useful when your contracts are in English and your procedures are not.
These options refine retrieval on specialised document sets. All optional: leave empty for defaults.
Every statement points back to the document, the paragraph and the version it came from.
When the answer is not in your data, the agent says so instead of inventing it.
Every action, every source consulted, every decision is recorded and exportable.
Validation happens on your documents, not on a demo dataset.
Pick the model that fits your constraints, not the other way round. Priced on quote, feasibility audit free of charge.
The product runs on our infrastructure. Immediate account opening, updates and monitoring included.
The product installs in your datacenter or private cloud, language models included. Your data never leaves your perimeter.
We build the agent that does not exist yet, on your data, your tools and your business rules — then we hand you the keys.
Every product in the catalogue is available under all three models. Quote within 48 hours, no commitment.
Answer from your documents while citing sources, with version and date.
Turn scattered documentation into a base that stays queryable and maintained.
Handle customers and staff continuously, qualify, escalate to the right place.
Run multi-step tasks across your tools, with human sign-off on the sensitive steps.
None of them is invoiced before you have signed off on the previous one.
We learn your business, your data and your constraints. Feasibility audit free of charge.
We build on your real documents and measure the results with you. If it does not work, we say so.
Secure deployment, integrated with your tools, with monitoring and incident recovery.
Team training, monitoring, continuous tuning of quality and cost.
Consulting, build, deployment, operations — one contact, one contract.
We rank your use cases by real return and rule out the ones AI will not solve.
The agent that does not exist yet, built on your data, your tools and your business rules.
A catalogue of platforms already built, testable online, adaptable to your processes.
Go-live, monitoring, incident recovery, continuous tuning of both quality and cost.
Microsoft 365, Google Workspace, CRM, DMS, SQL databases and your business APIs — your agents read and write where you already work.
Your teams run, adjust and extend the agents without depending on us.
Contract review, case law research, regulatory watch, compliance.
Candidate screening, onboarding, employee answers sourced from your own agreements.
Presentations, briefing notes and reports generated from your data.
Instant answers around the clock, request qualification, controlled escalation.
Your scattered documentation becomes a base you can question in plain language.
Invoice matching, spend analysis, supplier file preparation.
A legal department receives more contracts than it can possibly review.
A RAG agent isolates the risky clauses and points to the exact article causing the problem.
Lawyers decide instead of reading, and every call stays on the record.
A support team is buried under the same questions, seven days a week.
An agent wired to the knowledge base answers live and escalates only what deserves it.
Human agents handle the hard cases, not forgotten passwords.
A mid-sized firm answers public tenders with two people and a three-week deadline.
An agent reads the specification, pulls internal references and drafts the technical proposal on their template.
They bid on more contracts without hiring.
Our first client feedback will be published here, with the company name and the signatory's approval. We display no testimonial we cannot prove.
Yes, and that is the point. Several products are open online: the "Try it online" button in the Products section takes you straight there. For the others we open a demo environment on request, no commitment and no credit card.
It depends on the model and the volume: SaaS billed per usage or per seat, on-premise licence annual or perpetual, or a custom project on a fixed price. We issue a quote within 48 hours of a first conversation. The feasibility audit is free.
Yes, on-premise. The product and the language models install in your datacenter or private cloud and run on a closed network. No data leaves your perimeter.
No lock-in: the model is a setting, not a foundation. We plug into OpenAI, Anthropic, Mistral or Google if you already use them, and run Llama, Qwen, Mistral or any Hugging Face model locally through Ollama or vLLM. On-premise, the weights run on your own machines and nothing leaves. You can swap models without rewriting your agents.
An environment where an agent has tools, memory and connectors to carry a task from start to finish, instead of merely answering a question. You design, test, supervise and ship your own agents there.
Several specialised agents work in parallel on the same goal, review each other and converge on a consolidated result. It sharply improves reliability on long tasks: large-corpus analysis, deep research, migrations.
An agent that builds its answer from your documents and cites its sources, instead of producing plausible text. Every answer is traceable to the original document, with its version and date.
No, never, and it is written into the contract. Your data stays yours: role-based access control, encryption in transit and at rest, controlled hosting or your own.
Our products are designed for the traceability, human oversight and transparency the AI Act requires, and for GDPR data minimisation. We supply the matching technical documentation. The final classification of your system remains yours, and we support you through it.
Microsoft 365, Google Workspace, the main CRM and document management systems, SQL databases and your business APIs. If a connector is missing, we build it as part of the project.
That is what the proof of concept is for: we measure on your real documents before go-live. If the results are not there, we tell you and the project stops — you will not have paid for a production system that does not work.
No. We train your teams, document the installation and hand over the know-how. On-premise, you own the installation. Our maintenance contract is a choice, not a constraint.
Thirty minutes is enough to tell whether your use case holds up. Feasibility audit free, quote within 48 hours, no commitment.
One line is enough. You get an answer within a business day, from someone who knows the product.
contact@syctra.com