Long-term research
XYNEXIA Intelligence.
The long-term foundation beneath everything we build: our own models, speech and reasoning systems — and the evaluation needed to trust them.
Research areas
From using intelligence to building it.
Today we build on the best available models. Over time, we intend to own more of the stack — where doing so makes our systems faster, more accurate or more affordable.
01
Proprietary models
Models trained and tuned for specific business tasks, where general-purpose models are too slow, too costly or not accurate enough.
02
Speech & voice
Speech recognition and synthesis that work on real phone lines, in real accents and across the languages our users speak.
03
Reasoning systems
Methods that let AI plan, check its own work and explain its decisions — the foundation for trustworthy agents.
04
Agent infrastructure
The runtime beneath agents: tool access, memory, permissions, monitoring and audit.
05
Evaluation
Honest measurement: task-specific test sets, regression tracking and human review, before claims are made.
06
Data & APIs
Carefully sourced datasets and, over time, APIs that let others build on what we learn.
Our commitments
Evaluate before we claim.
We’ll publish what we can measure, and we won’t describe capabilities we haven’t tested.
Research that ships.
Research is chosen by what it can make possible in MAYA, our agents and our clients’ systems.
Responsible by default.
Privacy, consent and security are design constraints, not afterthoughts.
Building something that needs custom intelligence?
If off-the-shelf models aren’t enough for your problem, we’d like to hear about it.