The Prefrontal Cortex
for Edge Robotics
Synthesizing Computational Neuroscience with Control Theory. Building the first neuro-symbolic architecture designed for GPS-denied, high-stakes environments where "approximate" is not enough.
Standard LLMs Hallucinate. ATMA Reasons.
We are building the first neuro-symbolic architecture designed specifically for GPS-denied, high-stakes environments where "approximate" is not enough.
Deterministic Logic
Unlike probabilistic transformers, our symbolic solver guarantees logical consistency in critical decision paths.
Edge Native
Running full inference on Jetson Orin at <15ms latency. No cloud dependency. No lag.
Verifiable Safety
Mathematical bounds on agent behavior ensure safety compliance in industrial & defense sectors.
Technical Architecture
Three pillars of our neuro-symbolic stack, designed for deterministic reasoning on edge hardware.
Hierarchical Reasoning
Utilizing explicit executive Working Memory and bilateral PFC-parietal circuits for multi-step stateful decision making.
INT8 Quantization
Deployed on NVIDIA Jetson Orin/Xavier. Custom TensorRT export pipeline. <15W Power Envelope.
Linear-Time Context
Selective state-space mechanisms to solve Transformer latency bottlenecks in GPS-denied environments.
Operational Scenarios
High-stakes environments where standard stochastic models fail. Neuro-symbolic reliability is non-negotiable.
GPS-Denied Navigation
Aerospace / DefenseIn signal-jammed environments, UAVs relying on GPS or cloud-link become inert or erratic.
ATMA runs fully onboard (Edge). It builds a symbolic 3D world model from raw visual feed to navigate complex topographies without external signals.
Adaptive Manipulation
Industrial RoboticsHard-coded robots fail when objects are slightly displaced. LLMs are too slow (latency) for real-time control.
Our 'Slot-Attention' encoder decomposes the scene into discrete objects, allowing the arm to reason about displacement physics in <15ms.
Cognitive Surveillance
SecurityCurrent vision systems flood operators with false positives (motion detection) and lack context.
ATMA understands intent. It distinguishes between a 'workman carrying a drill' and a 'threat actor', reducing analyst load by 94%.
Autonomous Repair
InfrastructureRemote energy assets require costly human inspection. Stochastic AI misses subtle hairline fractures.
Symbolic verification ensures the AI checks every safety parameter against a rigorous rule set before authorizing a 'safe' status.
Recent Publications
Execution Protocol
Seed Foundation
Core team assembly. Alpha version of Slot-Attention encoder trained on synthetic datasets.
Symbolic Integration
Integration of neuro-symbolic solver. First successful demo of counterfactual reasoning in robotic manipulation.
Commercial Pilot
Deployment of ATMA V1 in controlled industrial warehouse environments. 99.9% safety guarantee.
General Autonomy
Expansion to unstructured outdoor environments. Defense and Search & Rescue contracts initiated.
Partner with ATMA Research Labs
If your organization operates in high-stakes environments where AI reliability is non-negotiable, let's talk.
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