ATOMiK evaluates whether state-aware execution can reduce wasted state movement in workloads constrained by bandwidth, latency, power, heat, or footprint. Claims require workload, artifact, context, and caveat.
Four operations. Everything else is built on top.
Four operations. Evidence-labeled proof path.
Evaluate whether meaningful deltas can reduce full-state movement for a specific workload, baseline, and decision metric.
XOR commutativity means deltas can arrive in any order. No Raft, no Paxos, no leader election. All nodes converge.
24 bytes per context regardless of history. 1 million checkpoints costs 24 bytes, not 8MB of snapshots.
Formal proof work exists for the algebraic model. Quote proof counts only from the current proof packet or claims registry.
Change-detection results are workload-specific and must be quoted with the measured artifact, baseline, and caveat.
Same operation vocabulary across software and hardware paths. Quote speedups only from current proof artifacts.
Side-by-side comparison for distributed state sync across 3 nodes.
LOAD sets the reference. ACCUM XORs a delta. READ reconstructs the state. SWAP starts a new epoch. Everything else -- rollback, merge, fingerprinting -- is built on these four.
Review current benchmark artifacts before quoting speedups. Implementation tier, workload shape, and evidence label matter.
Same API at every level. Upgrade when you need the throughput.
Illustrative throughput tiers. Proof artifacts and implementation-specific validation are required before quoting performance or correctness claims.
Deterministic model. Security claims require a reviewed threat model.
| Metric | ATOMiK | Traditional | Advantage |
|---|---|---|---|
| Throughput (Python) | 5M ops/sec | Varies by implementation | pip install |
| Throughput (C) | 500M ops/sec | Varies by implementation | Single header |
| Memory per rollback | 24 bytes (constant) | 8B × history depth | Case-specific |
| Bandwidth per update | 8 bytes (delta) | Full state size | 8,192× less |
| Time complexity | Workload-dependent | O(n) replay/scan | Constant |
| Dependencies | Zero | Framework-dependent | No bloat |
| Property | Traditional | ATOMiK |
|---|---|---|
| State tampering | Undetected | Requires measurement and threat model |
| Replay attacks | Must track sequence numbers | Algebraic cancellation; security use needs review |
| Data corruption | Silent unless checksummed | Can be evaluated with an integrity model |
| Convergence | Requires consensus protocol | Order-independent algebra for applicable deltas |
| Determinism | Implementation-dependent | Formal proof work present |
| Operation timing | Variable (data-dependent) | Security claim requires threat-model review |
Start with a scoped evaluation, not a generic subscription plan.
ATOMiK is a state-aware compute architecture moving from proof artifacts toward evaluated customer, design-partner, and licensing opportunities.
Business model: proof reviews, technical evaluations, design partnerships, and licensing/IP diligence. Pricing and margins require current business review.
We believe many constrained systems pay for unnecessary state movement. ATOMiK exists to evaluate where repeated scans, syncs, replay, and reconstruction create waste, then measure whether a state-aware architecture can reduce that waste for one workload, one baseline, and one constraint.