An agentic platform running in production, custom business software, and both wired into your real data — your documents, your databases, your tools. Not demos. Systems that run.
What you get, and when
In most organisations we meet, these three problems coexist. They share the same cause: the tools talk neither to your data nor to each other.
Thousands of contracts, procedures, minutes and technical sheets scattered across the shared drive, mailboxes and three cloud spaces. Finding a specific clause takes twenty minutes. Rewriting it takes two hours.
The off-the-shelf tool was bought, then worked around. Teams actually work in spreadsheets, in parallel, and re-key everything. Every duplicate is an error waiting to happen.
A pilot impressed everyone in a meeting. Six months later it is wired into nothing: not the internal documents, not the CRM, not the access rights. So it serves no one.
An agent that cannot see your data answers beside the point. An agent that does not know your access rights is a liability. An agent that cannot write into your system stays a demo. We address all three, because we hold both ends: the software that carries the process, and the AI that exploits it.
See howThat is what lets an agent do more than answer: write into your system, respect your access rights, and trigger an action.
We do not start from a standard product you then have to work around. We start from your processes, your constraints and your objectives, and build what actually matches them.
The goal is not to “add AI” to software. It is to build systems genuinely connected to the organisation's documents, databases and processes.
One company can hand us the design of its business software, the construction of its knowledge base, the creation of its agents, and the wiring of all of it into its information system. That is where the value appears.
Every solution has a perimeter, a way of working and an expected result. Click through to see how it works, what it produces, and what it does not do.
The difference is not the model. It is what the model is wired into, and what it is allowed to do.
| Our approach | Common approach | |
|---|---|---|
| What the AI knows | What is in your documents and your business databases, kept current | What was in the documents supplied at pilot time |
| What the AI can do | Answer, produce a deliverable, write into the system, trigger an action | Answer |
| Access rights | Those of your own systems — a sales rep does not see HR | Managed by the AI tool, separately, when managed at all |
| After the pilot | A component of the information system: integrated, versioned, operated | An isolated proof of concept to maintain |
| Reliability | Error rate measured at pilot, sources cited, refusal cases defined with you | Estimated, rarely measured |
| Ownership | You own the custom code, with documentation and knowledge transfer | Dependency on the vendor |
A multi-tenant agentic platform: ready-made expert agents, a studio to compose your own without code, agent teams that review each other, and five ways to expose them — up to a full install inside your walls, air-gapped networks included.
58 expert agents are available the moment the account opens — legal, finance, HR, sales, data, creative. When none of them fits, the studio composes one from 59 capability bundles, without writing code.
A single agent drifts on long tasks. The orchestrator splits the mission across several agents working in parallel, reviewing each other, and only assembles the deliverable once the disagreement is settled.
The Ultra-RAG engine queries your documents and your databases together, with retrieval profiles tuned per corpus. Every answer cites its source, and the link opens the exact page of the original document.
This is where AI stops being one more tool. The agent drives a browser, places a phone call, writes into your systems and runs on schedule — with human sign-off on what matters.
Deployment runs from SaaS to a full install on your own machines, air-gapped networks with no internet access included. The model is yours to choose, including served from your own cloud region or your own GPUs.
The platform is more than a chat window: full-screen studios produce the deliverable, and the same agent is then exposed via API, widget, white label, or inside your own software.
Every capability listed here exists in the product today. What is not open yet is shown as such in the catalogue rather than hidden — the same rule we apply to this site.
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.
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.
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.
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.
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.
A WhatsApp assistant wired to your data, in a day.
Answers customers, qualifies requests, triggers your automations and hands over to a human when it should. On the channel your customers already use.
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.
The sequencing is deliberate. At every phase you know what you are buying, what you get, and on what condition you continue.
A conversation to identify the use case in your organisation that pays back fastest. We come out of it with a written recommendation: what we would do first, why, and what it would cost. No commitment.
We examine your real data, not a comfortable sample. Deliverable: perimeter, target architecture, quantified success criteria, firm budget. This phase is billed, and deducted if you continue.
One use case, one group of users, in real conditions. We measure against the criteria set at scoping. If the criteria are not met, you stop there — it is written into the contract.
Deployment, integration into your systems, access management, team training, scaling and operations. Documentation and knowledge transfer planned from the start.
No phase is committed before you have signed off the previous one. Operating costs are quantified at scoping, capped and monitored: no surprise invoices.
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.
The corpus changes everything: a contract does not read like a clinical protocol, nor like a teaching resource. Our tuning and our guardrails follow the domain.
Your sector is not on the list? That is exactly what the diagnostic is for — the method does not change, only the tuning does.
Three ways to run the same product, four billing phases. Ballpark figures at the diagnostic, firm budget at scoping.
The product is identical in all three cases. You pick the model that fits your security, budget and governance constraints.
The product runs on our infrastructure, hosted in the European Union. You open the accounts and start.
The product is deployed on your infrastructure or private cloud. No data leaves your perimeter.
We build the solution for you, and you own the custom development code.
Each phase has its format and its condition for moving to the next. You never commit to phase n+1 without having signed off phase n.
Identifying the use case that pays back fastest, and a written recommendation.
Analysis of your real data. Perimeter, target architecture, quantified success criteria, firm budget.
One use case in real conditions, measured against the phase 1 criteria.
Deployment, systems integration, training, scaling, evolutions and monitoring.
We give a range at the diagnostic: a document with no order of magnitude wastes everyone's time. The budget becomes firm at the end of scoping, and operating costs are capped and monitored.
The ones we are asked before signing. If yours is not here, it fits inside the thirty-minute diagnostic.
In the European Union by default. Deployment on your cloud or your own infrastructure is possible, including fully offline. No transfer outside the EU without your explicit agreement, written into the contract.
Never. Neither yours nor your clients'. Isolation is by organisation, team and user, and the agent's rights are those of the person asking: a sales rep does not get an answer built on an HR document.
Every answer cites its sources — document, page, paragraph — and stays verifiable in one click. The cases where the agent must say “I don't know” rather than improvise are defined with you. The error rate is measured at pilot on your data, not estimated in a brochure.
You stop there. Success criteria are quantified at scoping, before the pilot starts, and the commitment is against those criteria. That is precisely why scoping comes before the pilot.
You own the custom development code. Documentation and knowledge transfer are planned from the start. You can take over in-house or change supplier without asking our permission.
The diagnostic takes thirty minutes. Scoping, two to three weeks. The first system in real conditions, six to ten weeks after that. We do not promise production in two weeks: on real data, that would be false.
The diagnostic is free. Scoping is a fixed price, deducted if you continue. We give a range from the first conversation, and a firm budget at the end of scoping. Operating costs are quantified, capped and monitored.
Probably, as soon as AI touches recruitment, credit, health, education or any decision affecting people. We provide the technical components — traceability, audit logs, human oversight, documentation — and scope the qualification with you. The final legal qualification rests with your counsel.
We say so at scoping, and we start by cleaning it. Deploying an AI system on a false or obsolete corpus produces confident, wrong answers — worse than no system at all.
Yes. The software pole stands on its own: business software, CRM, ERP, client portal, SaaS platform, modernising an existing system. Many projects start there and only add AI later, once the processes are held by a tool that actually fits them.
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