Milo brings temporal intelligence to real systems — delivering reliability under strict latency and energy budgets across edge, autonomy, and enterprise workloads.
We build Time-Aware AI—systems that plan, decide, and learn with explicit awareness of time and resources. Our vision is a world where AI is reliable by design, delivering predictable outcomes across edge devices, autonomy, and enterprise workloads.
Time shapes decisions. Milo encodes temporal intelligence so models adapt to time & energy constraints—answers that are not only correct, but on time.
Real-time adaptation to latency, energy, and network envelopes.
Stable response times without blunt pruning/quantization trade-offs.
SLA-oriented behavior with observability and governance built-in.
Our approach treats time as a first-class signal. A bounded temporal control modulates effective compute and pacing, allowing models to synchronize with external dynamics while preserving causality.
A software + hardware architecture that makes future AI predictable and efficient.
Works alongside Transformers, CNNs, and control policies via modular components.
Balances task performance with temporal stability using bounded control signals.
Clean mapping to FPGA/ASIC accelerators for time-domain modulation and energy-aware inference.
Consistent latency & accuracy under load; designed for SLAs and safety envelopes.
Runtime awareness replaces brute-force compression strategies for better trade-offs.
Edge→Cloud, autonomy→LLMs—without architecture lock-in or vendor dependence.
Predictable, ultra-low latency on constrained devices and sensors.
Split-second decisions with reliability envelopes and safeguards.
Time-optimized allocation and routing in dynamic networks.
Time-aware diagnostics and clinical decision support at the edge.
Throughput and cost efficiency without breaking SLAs.
Grid optimization and predictive balancing with temporal guarantees.
We’re standardizing temporal reliability in AI — turning time, latency, and energy into controllable levers. With investment, TAAI becomes the default layer enterprises rely on for predictable intelligence across edge, autonomy, and large-scale AI serving.
Outcome-first view; non-confidential. More detail available under NDA.
End-to-end runtime with temporal controls; internal demos completed.
Filings cover system, method, and hardware co-design.
Target: demonstrable advantage vs Transformer baselines in time-critical tasks.
Edge robotics, healthcare decision support, telecom resource scheduling.
Time-domain modulation mapping to accelerators; partner scoping.
Audit logs and reliability envelopes integrated into runtime.
Building at the intersection of AI, timing, and secure systems.
Founder & CEO
18+ years in AI & temporal systems; product & research strategy.
Head of Cyber Security
Mathematical cryptography & secure systems; trust layer lead.
Design Systems & UX
Accessible interfaces, observability dashboards, real-time UX patterns.
We provide an investor deck and curated demos under NDA. Public materials highlight outcomes, not internal methods.
Whether you're exploring or ready to invest, we’d love to connect.
