
MOTA
Neural-symbolic planner for enterprise workflows

Neural-symbolic planner for enterprise workflows
Models, data, and cloud made intelligence easy. Trusted orchestration remains the challenge
MOTA adds planning discipline so automations are correct, explainable, and safe


LLMs handle simple queries but falter in complex, multi-step enterprise workflows
The next frontier is AI Planning and Orchestration, where Tool-Use Engineering becomes mission-critical
MOTA pioneers this shift, starting with API orchestration

AI pilots stall. Nothing sticks in production
No reliability, auditability, explainability
LLMs predict — they don’t plan

MOTA turns intent into action
It plans, executes, and verifies
Proven by CRMArena Pro benchmrks

MOTA brings structured, explainable planning to AI execution.
It moves beyond prompt chaining by dynamically creating, validating, and sequencing tasks across applications.

MOTA core minimises redundant calls, retries, and human oversight.
MOTA Neural-symbolic core delivers faster, predictable outcomes across enterprise tools.

MOTA’s planner ensures every action is logged, verified, and auditable.
Produces human-readable plans enabling compliance readiness and end-to-end visibility for CIOs and CROs.

https://arxiv.org/abs/2505.18878
The benchmark measures API precision, execution speed, and evaluates orchestration and data handling.
Multipurpose: is built for versatility, capable of addressing multiple tasks and business functions efficiently.
Orchestration: seamlessly manages and integrates processes, tools, and APIs to achieve comprehensive business outcomes.
Transformer: leverages transformer models, it excels at contextual understanding, large-scale data analysis, and strategic decision-making.
Agent: operates autonomously, interacting with APIs, adapting to changes, and refining its approach based on environmental inputs and business goals.
MOTA founders have a track record in building and scaling software businesses in big tech,
corporate, start-up in operational, advisory investor roles. Having spent the last year
refining and testing their idea they are now actively building their team.
If you are passionate about machine learning and AI technologies and want to work on
developing intelligent AI agents, we encourage you to apply for this exciting opportunity.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.