Adaptive Query is a platform engineered to manufacture unicorns — backed by multiple pending non-provisional patents and a unified, modular architecture spanning identity, indexing, provenance, agents, embodiment, networking, and cognitive modeling. Each vertical represents a patent-protected commercial domain where one exclusive co-founder will partner and receive early access, licensing rights, and first-market advantages, with the opportunity to define standards in a category-creating business. Every opportunity is built on defensible primitives that competitors cannot replicate without infringing AQ’s core IP.
A unified messaging substrate that replaces email, chat, identity directories, and account‑based systems with a single semantic address layer.
What the business is:
A cross‑platform communication service where users register a single @AQ handle (example: user@nick), enabling seamless email, messaging, encrypted transfer, and cross‑device continuity.
How AQ enables it:
AQ’s adaptive index resolves human‑readable semantic aliases globally without centralized servers. Trust‑slope identity prevents spoofing, phishing, and account takeover. Memory‑native messages allow clients to make local policy decisions without global state.
AQ competitive advantage:
Only AQ can provide globally resolvable aliasing, slope‑validated identity, and trust‑scoped delivery because these rely on structural primitives (adaptive indexing, DAH‑based continuity checks, memory‑native policy execution) that do not exist in any legacy stack. Competing systems—email, chat apps, directories, blockchains—cannot implement this model without replicating AQ’s protected architecture.
The below demo approximates a Dynamic Device Hash (DDH), disclosed on this website. Instead of a static keypair, your device expresses identity as a trust slope: a sequence of DDHs, each derived from:
In a production deployment, the local state vector would be richer (hardware anchors, micro-jitter, counters, etc.) and never exported. Here, we expose a simplified version so you can see how it works. All computation happens in your browser; nothing is sent to the server.
Initializing browser state…
In the full system, this “extractor” output feeds the DDH update rule along with volatile salts and semantic context. No static keypair is stored or required.
Each new step is computed as:
DDHₜ = H( DDHₜ₋₁ ∥ entropyHash ∥ saltₜ ∥ "ddh-demo-step" )
The demo also advances automatically every 30 seconds using a fresh salt, showing a continuous “trust slope” over time.
No DDH steps yet.
In this demo, your browser recomputes DDH from its own local state and salts. There is no stored private key pair or server-side secret to recover — only a local, evolving identity slope that you can reconstruct from your own environment.
A content authenticity platform providing entropy‑derived identifiers for images, documents, audio, and video — enabling instant provenance, duplication detection, and mutation lineage.
What the business is:
A cross‑industry provenance engine for newsrooms, creators, researchers, and anti‑fraud systems. Users upload media and receive an AQID that provides similarity search, drift detection, mutation lineage, and chain‑of‑custody logs.
How AQ enables it:
AQ’s entropy‑based anchoring and slope‑band routing provide a mathematically stable identifier. Adaptive indexes handle alias disputes, mutation tracking, and multi‑root lineage graphs.
AQ competitive advantage:
AQIDs are only possible because AQ anchors content using entropy‑derived identifiers, slope‑band routing, and multi‑root lineage graphs — none of which exist in current provenance, hashing, or blockchain systems. Every alternative breaks on one‑bit changes, cannot track drift, and cannot resolve lineage. AQ’s primitives are required; without them, this vertical does not function.
AQID™ enables global, decentralized provenance for visual media — a stable identity point resistant to resizing, compression, rotation, and format changes. It powers cross-platform de-duplication and copyright validation based on a single deterministic content anchor.
AQIDs do not rely on pixels — they rely on entropy patterns, which remain stable even when images do not. AQID™ replaces heavyweight image comparison with a single lightweight hash that can be generated, stored, and compared instantly. Instead of scanning pixels or running vision models, users and platforms simply compare AQIDs — deterministic signatures that remain stable across resizing, compression, rotation, screenshots, and format changes. No other platform offers cross-format, cross-resolution visual identity at this level of determinism. AQID’s multi-layer processing pipeline (global + quadrant signatures, with optional finer grids in production) dramatically enhances collision resistance and can scale to higher resolutions without increasing computational cost per lookup. The result is a new universal identity primitive for visual media: fast enough for consumer apps, robust enough for global provenance infrastructure.
Upload an image below to generate its prototype AQID. Upload a second image, and AQIDs are compared to identify matching content. For example, you can try uploading the same image in different formats, sizes, and orientations—they should all generate the same AQID.
Images are processed locally and are not saved or stored.
A financial protocol leveraging AQ’s identity layer, trust‑slope validation, and adaptive indexing to achieve instant settlement without consensus blockchains, mining, staking, or global ledgers.
What the business is:
A lightweight global payment network for remittances, merchant processing, micro‑transactions, and peer‑to‑peer transfers — all executed through deterministic routing rather than ledger synchronization.
How AQ enables it:
Adaptive indexing replaces blockchain consensus with deterministic alias routing. Trust‑slope identity provides fraud‑resistant continuity checks and prevents double‑spend behavior without global agreement or expensive verification layers. Memory‑native validation allows nodes to make real‑time policy decisions locally.
AQ competitive advantage:
Adaptive Coin is only viable because AQ replaces consensus and ledgers with deterministic identity‑validated routing. No blockchain, bank, or settlement network can reproduce this architecture without AQ’s adaptive index, trust‑slope identity, and memory‑native validation. Without AQ, instant ledger‑free settlement is structurally impossible. AC provides the speed of crypto without the volatility, the cost, or the consensus overhead.
Adaptive Coin (AC) targets stability by dynamically pegging its value to a diversified basket of global currencies. This minimizes volatility and provides a predictable medium of exchange for global trade. Use the interactive model below to explore conceptual peg behavior, currency trends, and relative volatility.
Chrat shows conceptual economic modeling for the AC peg mechanism.