Onta
For management, sales and marketing teams working across fragmented data sources. Connects performance data from every channel, unifies it into one source of truth, and turns it into actionable insights.
Plug & Play agents for proven enterprise workflows
Each agent has a pre-built operating core and is configured around your data, systems, rules, controls, and infrastructure.
The repetitive load
Agents already running in real business systems.
Oracle
For teams working with complex, document-heavy knowledge. Connects documents into a knowledge graph, finds relationships and conflicts, and delivers precise answers grounded in your sources.
Logos
For companies that need private, predictable AI infrastructure. Runs powerful open models in your cloud or on-premise, with OpenAI-compatible APIs and stable inference costs.
Responsum
For customer support teams handling high-volume tickets. Reads each request, finds the answer in your systems, and verifies it before it reaches the customer — inside the helpdesk you already use.
Token Management
For companies managing token-based compensation and investor allocations. Automates vesting, unlocks, trading plans, tax workflows, and compliance controls in one platform.
What is shared
The operating coreis already built.
Your data sources, rules, controls, and deployment boundary are configured around the way your team works.
Configure
Connect the product to your data, rules, and systems.
Shadow
Run beside the current process and review the exceptions.
Go live
Move the agreed scope into service in your environment.
Operate
Monitor the workflow and improve it under one subscription.
FAQ
Plug & Play, explained
What does “plug and play” mean here?
The core agent is already built and proven in production. Instead of starting from scratch, we configure it around your data, systems, rules, and infrastructure — cutting the path to production significantly.
Can these be customized?
Yes. The core workflow is pre-built, but integrations, business rules, permissions, interfaces, and approval flows are configured around how your organization actually operates.
Where do they run?
Where your requirements demand. Agents can run in our managed environment, your cloud, or your own infrastructure. For sensitive workloads, we can keep data and inference within your environment.
How are they priced?
A one-time deployment fee covers configuration, integrations, and launch. After that, you pay a predictable subscription for hosting, monitoring, support, and continuous improvement — without token-based billing.
How fast can one go live?
Much faster than a custom build because the core agent already exists. Deployment time depends mainly on integrations, data access, security requirements, and the level of customization needed, it can vary from one to four weeks.
Find the agent that fits
Tell us the workflow and we'll point you to the right solution, or tell you if a custom build fits better.