Give us X
Give us one state-heavy workload, your current baseline, and the constraint that already hurts.
State-aware compute evaluation
Stop wasting power, bandwidth, and time moving state your system already knows.
ATOMiK helps edge and embedded teams evaluate whether state-aware execution can reduce redundant state movement in workloads constrained by heat, battery, bandwidth, latency, or hardware footprint.
One workloadOne baselineOne painful constraint
ATOMiK is X that helps Y by Z
What ATOMiK is.
ATOMiK is a state-aware compute architecture that helps edge and embedded teams reduce wasted state movement by tracking meaningful change instead of repeatedly moving, scanning, syncing, replaying, or rebuilding full state.
First ICP: Edge and embedded teams that can provide one representative state-heavy workload, one current baseline, and one painful constraint expensive enough to evaluate.
We evaluate Y
We will evaluate where state movement creates waste and whether ATOMiK can improve the path.
You receive Z
You will receive a workload map, baseline comparison, evidence map, fit/no-fit recommendation, and next-step plan.
Success looks like A
Success looks like a measured improvement against one agreed metric while preserving correctness and showing enough economic or technical value to justify a design-partner evaluation.
Paid pain
Why wasted state movement becomes a buying conversation.
The first question is not whether ATOMiK is interesting. It is whether redundant state movement is already costing the team power, heat, bandwidth, latency, size, reliability, or engineering time.
Battery and duty cycle
If state scans, syncs, or radio wake-ups consume a limited power budget, ATOMiK can evaluate whether meaningful-change tracking may reduce active work.
Heat and enclosure limits
If redundant state work contributes to utilization or thermal pressure, ATOMiK can map the workload before any heat claim is made.
Bandwidth and link cost
If full-state movement stresses expensive, remote, intermittent, or congested links, ATOMiK evaluates bytes moved and transfers avoided.
Latency and local execution
If replay, reconstruction, or sync sits on the response path, ATOMiK evaluates whether state-aware boundaries can lower update cost.
Footprint and weight
If hardware is overbuilt around state movement, cooling, or bandwidth pressure, ATOMiK can test whether that pressure has a state-aware path.
ROI path
The value story is not a bigger claim. It is a shorter path from waste to decision.
ATOMiK turns a vague compute problem into an evidence question: where is state movement creating cost, what metric proves the waste, and does reducing it justify a larger customer or licensing step?
Less redundant work
If the workload fit is real, the first measurable value is fewer bytes moved, fewer full-state transfers, fewer repeated scans, or lower update cost.
Lower constraint pressure
Those measured improvements can translate into battery, thermal, bandwidth, latency, footprint, or engineering-time pressure only when the customer workload proves it.
Faster investment decision
The evaluation path is designed to produce a fit/no-fit answer, a baseline comparison, and the next evidence gate before a team commits to a larger design-partner or licensing path.
Plain English mechanism
ATOMiK tracks change instead of repeatedly treating all state as new.
Many constrained systems spend too much work moving, scanning, syncing, replaying, or rebuilding state. ATOMiK maps those paths and evaluates whether a state-aware architecture can reduce the wasted work.
See evaluation processTrack meaningful change
ATOMiK starts from a known state and records the state transitions that matter to the workload.
Coalesce repeated work
When many logical operations hit fewer state regions, ATOMiK evaluates whether they can be collapsed safely.
Avoid full-state movement
The goal is not to move everything faster. The goal is to avoid moving, scanning, replaying, or rebuilding state that does not need it.
Preserve correctness
Every evaluation needs an expected state, invariant, or output so reduced movement does not become reduced correctness.
Best fit
The first evaluation needs evidence, not a technology tour.
ATOMiK is strongest where state movement, repeated scans, full-state sync, replay, or reconstruction dominates the cost.
- The workload repeatedly moves, scans, syncs, replays, or rebuilds state.
- The team can provide a current baseline and a decision threshold.
- Battery, heat, bandwidth, latency, footprint, weight, reliability, or cost is already painful.
- Correctness can be checked against an expected state, invariant, or output.
- The economic or technical value is large enough to justify evaluation work.
What to bring to an evaluation
Bring one real workload, one baseline, and one constraint.
Customers do not need to expose an entire product. They need to provide enough about one constrained state path to decide whether ATOMiK is relevant.
Representative workload
Current implementation or pseudocode
State model, state size, and update frequency
Current data or state movement path
Current baseline measurements
Painful constraint: battery, heat, bandwidth, latency, footprint, weight, reliability, cost, or compute density
Target hardware or deployment environment
Decision metric and threshold for continuing
Available traces, logs, counters, power data, latency data, bandwidth data, or thermal data
What we measure
Full metrics matrixSuccess is agreed before the benchmark starts.
ATOMiK is successful when it improves the pre-agreed metric against the current baseline, preserves correctness, and connects that improvement to a business constraint worth pursuing.
| Metric | When it matters | Meaningful result | Public safety |
|---|---|---|---|
| Bytes moved | Bandwidth-constrained links, radio duty cycle, sync-heavy paths | Fewer bytes moved for the same correct outcome | Homepage-safe as an evaluation target |
| Full-state transfers avoided | Systems that repeatedly send snapshots or rebuild full state | Fewer full transfers without losing correctness | Homepage-safe as an evaluation target |
| Operations coalesced | Change-heavy workloads with repeated updates to the same regions | Fewer emitted operations for equivalent state | Homepage-safe as an evaluation target |
| Unique-region ratio | Workloads where many logical operations hit fewer state regions | Low ratio signals stronger coalescing potential | Proof-page-safe with caveat |
| Cycles per update | Embedded processors, MMIO paths, local update loops | Lower cycles/update on the selected path | Proof-page-safe with artifact |
| Update latency | Control loops, robotics, field systems, local state machines | Lower latency against the current baseline | Proof-page-safe with artifact |
| Power proxy | Battery and thermal evaluations before instrumented power runs | Proxy improves enough to justify power-instrumented testing | Diligence-only unless clearly labeled |
| Thermal proxy | Enclosures, dense racks, fanless devices, field reliability | Proxy reduction that supports a thermal test plan | Diligence-only unless measured |
| Correctness preservation | Every evaluation | Same correct state or accepted behavior after optimization | Homepage-safe |
Fewer bytes moved for a bandwidth-constrained workload
Fewer full-state transfers for a sync-heavy workload
Lower update or reconstruction latency for a local-execution workload
Fewer operations after coalescing for a change-heavy workload
Lower power or thermal proxy where responsible measurement exists
Clear fit/no-fit evidence that supports a design-partner decision
How we know ATOMiK works today
The proof is real, specific, and workload-bound.
ATOMiK is evaluated workload by workload. Current evidence shows the architecture can win in specific coalesced or batched scenarios and lose in others.
Artifact map
Public proof packet
The public site links to the evidence and benchmark page, hardware proof map, claims registry, and evidence labels.
Evidence labels
Evidence-labeling framework
Claims are separated as live measured, hardware validated, software validated, formal proof, synthesis validated, build artifact, projected, conceptual, or roadmap.
Claim control
Claims registry
The registry records public-safe claims, artifacts, caveats, and overclaim risks for current public materials.
Hardware validated
Live Zynq prototype evidence
ATOMiK Desk v0.39-K is a current prototype UI screenshot running on live Zynq hardware. It is not proof of power, thermal, uptime, or production maturity.
Hardware validated
Linux userspace to FPGA validation
The Linux userspace proof validates the path from user process through Linux, MMIO, Wishbone CSR bus, and FPGA accelerator for algebraic checks.
Live measured
AX7020 board-run performance matrix
The matrix shows ATOMiK can win in specific coalesced/batched scenarios and lose in others. Use it with the interpretation caveats.
Formal proof
Formal proof work
Formal proof work is present in the repository. Public pages should avoid unaudited proof counts unless the count is verified across repo, site, and deck.
Synthesis validated
Synthesis-validated artifacts
Synthesis and toolchain outputs are useful evidence but must not be blended with live-board measurements.
Roadmap / conceptual
Roadmap and concept materials
Concept visuals explain product direction only. They are not proof of current commercial functionality.
Performance claims must be quoted only with their artifact, context, and caveat. Do not isolate the biggest number without the interpretation.
Next step
Request an evaluation around one constrained state path.
The right next conversation determines whether you need proof review, workload mapping, a benchmark exchange, technical evaluation, licensing diligence, investor diligence, or a no-fit answer.