Pre-revenue · Proprietary · Diligence one-pager
PhantomInfra
Speculative zero-latency edge engine. Predict the next API or agent tool call, pre-execute on a copy-on-write branch, commit at packet arrival — or roll back with zero production side effects.
Why this is valuable without revenue
- Category creation — not CDN cache. Speculative mutations & tool calls with shadow/commit/compensate.
- Agent-era wedge — pre-run tools while the model is still planning.
- Buyer-shaped — adapters for Cloudflare Workers, Vercel Edge, Node/Lambda.
- Diligence-ready — whitepaper, threat model, OpenAPI, bench, audit export, CI.
Acquirer fit
| Cloudflare | Workers + Durable Objects + KV — reference impl shipping |
| Vercel | Edge / Fluid via @phantominfra/adapters |
| Fastly | Compute@Edge via fetch adapter pattern |
| AWS / Azure | Node adapter → Lambda / Functions warm path |
Measured demo proof
~0.1msHit confirm
~156msCold miss
~1500×Approx speedup
PROPLicense
Local bench: npm run bench. Production savings scale with handler cost × hit rate.
What’s in the box
- Runtime: predict → COW speculate → commit/rollback
- Shadow effects + compensate + policy + ledger
- Edge: auth, rate limit, KV predictor mesh, SSE
- Agent plan → tool speculation
exportAuditBundle()for data rooms
Ask (non-binding)
Strategic acqui-hire / technology acquisition into an edge or agent runtime org. Value is runtime IP + edge reference + acquirer adapters — not ARR.