A neurosymbolic reasoning engine built for mission-critical operations — not another LLM wrapper. Provable decisions, zero hallucination, and near-zero inference cost. Runs on edge hardware. No cloud required. Air-gap ready for the environments where data cannot leave.
Proof Included
Every decision ships with a verifiable logic chain — not just an answer
No Cloud Required
Runs on-device and air-gap — data never leaves your environment
Sub-second
Decision speeds built for live operations
Stop guessing with language alone—compute the next decision when stakes, policy, and auditability matter.
Built for mission-critical logic and regulated industries. Helixor handles complex, high-dimensional constraint problems with mathematical certainty — hard constraints enforced during the solve, not validated after the fact.
Best for creative synthesis and general querying. LLMs excel at understanding natural language but struggle when variables explode or logic requires 10+ sequential steps.
"We aren't another wrapper on an LLM. We've spent years building a proprietary, neurosymbolic reasoning engine that owns the logic layer — the infrastructure every enterprise will eventually need."
Most AI companies are building linguistic interfaces on top of someone else's model. We are building the reasoning engine — the deterministic core that sits beneath all of it. Protected by 26+ provisional patents, deployable on any GPU, and designed from day one to never need the cloud.
Defense, banking, healthcare, and insurance cannot send data to third-party cloud infrastructure. Every frontier LLM competitor is cloud-locked. Helixor deploys on-premise, on-device, and air-gap — ITAR, CMMC, HIPAA, and regulatory audit-ready by architecture.
Helixor includes a trained meta-learner that selects the right solver strategy for each problem type — and evolves those strategies automatically over time. You don't tune it. It tunes itself.
Helixor is built on a proprietary, bio-inspired computation model protected by 26+ provisional patents — where mathematical operations compose and evolve like biological sequences. Four years of development. No comparable system in commercial AI today.
Enterprises have approved AI budgets they cannot deploy into core operations — because per-query cloud inference costs make large-scale operational AI economically unsustainable.
Helixor runs on whatever GPU is available — on a laptop, on an Nvidia server, or on embedded edge hardware. No dedicated cluster required. Marginal inference cost approaches zero as volume grows. This is a CFO conversation, not just a CTO conversation.
At enterprise decision volumes — lending, underwriting, fleet routing, compliance — the difference between cloud AI pricing and Helixor is the difference between a seven-figure annual line item and a rounding error.
Every decision sent to a cloud AI model carries a per-query cost that scales linearly with usage. At enterprise decision volumes — lending, routing, underwriting, compliance — this quickly compounds into a budget problem that prevents deployment into the operations that need it most.
GPU-accelerated tensor architecture that runs on whatever hardware is available — laptop GPU, cloud Nvidia, or embedded edge GPU. No dedicated H100 farm. No cloud round-trip. Near-zero marginal cost at any scale, with full audit proof on every decision.
Neurosymbolic reasoning, constraint-native math, and operational optimization—one stack for regulated and high-stakes workflows. Explore each pillar or see how the full engine fits your industry.
Helixor computes answers through deterministic layers. We eliminate the probabilistic "drift" inherent in language-first models.
Neurosymbolic AI →Every decision is accompanied by a structured constraint report — showing which rules applied, what was ruled out, and why the result is valid. Built for audit and regulatory review.
Math capabilities →Sub-second solving for routing, scheduling, and constraint problems — with feasibility enforcement built into the solver path, not bolted on after the fact.
Optimization →Constraint-enforced lending decisions with full regulatory policy alignment and audit trail.
Dynamic risk assessment models that verify reasoning for multi-billion dollar firms.
Customs and tariff optimization reacting to global shifts in milliseconds.
Verifiable mathematical proofs for complex tax code interpretation.
Constraint-enforced shift planning for nurses and physicians with full labor-rule and policy compliance.
Dynamic optimization of maintenance crews for high-stake infrastructure repair and deployment.
Millisecond deterministic rule verification to block fraudulent transactions at the point of origin.
Computing optimal price points across complex, high-dimensional supply-demand constraint spaces in high-velocity markets.
Governance-led orchestration of customer journeys for highly regulated financial services.
Real-time replanning for massive fleets reacting to live traffic, weather, and dynamic delivery windows.
End-to-end inventory and flow optimization across thousands of multi-modal global nodes.
Real-time shuffling and upgrades to maximize RevPAR while ensuring top guest satisfaction.