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For software houses and consultants who want a solid AI infrastructure to build on, replicate and grow their offering, without starting from scratch on every project.
Your context
01
Clients ask for AI. You have to deliver it.
The request is concrete, the timeline is tight. The client expects something that works in production, not a prototype to evolve on their own.
02
Every project has its own stack.
Different ERPs, different databases, different security policies. You need a tool that adapts to the client's context, not one that forces them to change.
03
You start from scratch every time.
Every AI project starts over from the beginning. The work done doesn't become an asset: it's hard to capitalize on it, to scale your offering without scaling costs.
The tool
ARIflow is LLM-agnostic: use the providers the client already has or the ones you prefer. Switch models without rewriting the workflow.
Less maintenance effort on every model change.
When a model is updated or replaced, automated testing verifies on its own that every delivered workflow keeps working. You cut Application Maintenance effort on active projects: no manual client-by-client checks, no regression you discover too late.
Build once. Reuse on every project.
Workflows are built from building blocks: every component developed for one client becomes a reusable asset for the next project. Over time your catalog grows without development costs growing proportionally.
LLM-agnostic.
You're not tied to one provider. Use the models the client already has or the ones you prefer. Switch without rewriting anything.
Automated testing.
What you deliver is verifiable and maintainable. The client won't call you three months later because the workflow silently broke after a model update.
Deploy and self-documented API.
Cut delivery and client-side integration times. You publish the workflow, the API is already documented.
Flexible hosting.
SaaS EU, private cloud or on-premise. You adapt to any client's constraints without changing tools. If the client requires total isolation, ARIrun adds local inference.
Total visibility.
The visual editor lets you show the client exactly what's happening. Every step, every decision, every output. No black box to explain.
How it works
ARI pricing is volume-degressive: the more clients you aggregate under a single instance, the lower the cost per invocation. This creates a real margin without needing wholesale discounts.
It starts with a technical certification: training and enablement on building flows with ARIflow. Then a bilateral agreement defining the resale terms, white label included: you distribute the solutions to your clients under your own brand.
No standardized partner program. We work with a few selected partners, with agreements built around their business model.
01
Technical certification
Training and enablement on building flows with ARIflow. One-off, calibrated to the scope you need.
02
Bilateral agreement
We define the terms together: white-label resale rights, volume, terms. No standard contracts.
03
First client projects
You build the first workflows on real use cases. The ARI team is available for technical support.
04
Scale your offering
You reuse components in later projects. Your AI offering grows without development costs growing proportionally.
Ready-made vertical solutions
If the project concerns a specific process, ARI modules cut delivery times. You activate them, configure them for the client's context, connect them to their systems.
We build on ARI
BlackBytes (the team that built ARIflow) uses the platform internally to deliver custom AI solutions, white label included: you bring them to your clients under your own brand.
Nobody knows the tool better than those who built it. If you're looking for a technical partner to bring AI into your processes, let's talk directly.
Who we are
The team that built ARI
How we work
ARIflow as an internal workbench for every client project
What we bring
Direct knowledge of the platform, zero learning curve, continuous product feedback
For whom
Companies that want custom AI solutions without building an internal team
Let's talk about how it fits into your delivery model. Agreements are bilateral: we build the right terms together.