Independent software & research company
We turn high-stakes technical uncertainty into working systems, reproducible evidence, and decisions your organization can defend.
Not certainty for sale. A working system, a reproducible test, and an honest boundary your team can use.
Three ways to work together
Choose the level of proof the decision requires. Every engagement ends with an artifact, a testable claim, and a visible boundary.
Three evidence-backed case studies
Each case starts with a consequential question, stops at the strongest supported claim, and leaves the failure boundary in view.
Runtime governance
UNIVRuntime abstractions can quietly weaken enforcement when a workload moves between WASI, containers, native processes, and virtual machines.
An evidence-first control plane with authenticated workers, digest-bound artifacts, cancellation, timeouts, cleanup, and fail-closed execution boundaries.
The same 22-test suite passed on Windows and through the pinned Linux verifier. A scan of 352 locked Rust dependencies reported zero known vulnerabilities.
It turns “the policy should hold” into an inspectable question before an organization standardizes a mixed execution surface.
This is verification evidence, not a speed benchmark. Direct-runtime performance baselines do not yet exist.
Agent-economy protocol
ixiAn autonomous-agent economy combines cryptography, consensus, mining, wallets, governance, and SDK surfaces—each multiplying the cost of a hidden validator flaw.
Runnable Rust primitives and local node tooling with Python, JavaScript, and Go SDKs, bounded by explicit pre-testnet security claims.
Three Go fuzz targets completed 5,000,000 executions each without a crash, panic, or reproducible validator bypass in the stated threat model.
It demonstrates how an ambitious protocol can accumulate failure evidence before launch pressure makes defects expensive to admit.
A 15-million-execution campaign is not proof that ixi has no vulnerabilities or is ready for production.
Adversarial protocol research
Universal UnitClaims of monetary neutrality are easy to write and difficult to defend when power can concentrate through validators, custody, governance, or adaptive behavior.
Executable Python and JavaScript protocol cores, constitutional power audits, paired simulations, and an adaptive attack search that can keep a gate closed.
Across 4,000 paired 120-step simulations, both arms detected 716 of 716 injected captures, made zero false adjustments, and moved eligible recovery from 7.24% to 8.41%.
The work shows how to separate a promising mechanism from a defensible claim—and how to stop when later evidence breaks the claim.
A later adaptive search found a blocking counterexample. Gate 3 remains failed; the protocol is not certified.
Research frontier
Promising programs stay visible without being promoted beyond their evidence. A frontier becomes a flagship only when its proof can be inspected.
Persistent-memory inference combining exact objects, symbolic retrieval, FHRR representations, routing, and safety verification.
Evidence statusEvidence spans compositional retrieval, real-corpus and OCR studies, live-model memory tests, and regression testing. A public commit-pinned evidence package is still required before flagship promotion.
A crash-resilient control layer for long-running AI work that preserves objectives, applies steering safely, checkpoints state, and blocks unsupported completion claims.
Evidence statusPublic plugin and skill bundle with 15 focused tests, tamper-evident event history, and CLI integrity evidence.
A private, model-independent continuity engine whose memory, goals, identity state, learning policy, and audit history persist when the language model changes.
Evidence statusRunnable local engine with SQLite memory, bounded learning, portable checksummed snapshots, evaluation gates, and an outbound-network guard.
Isolated research tracks for bounded neural-circuit simulation and a classically simulated 15-qubit structured-uncertainty reservoir.
Evidence statusDeterministic runners, integrity manifests, retained evidence, benchmark controls, and explicit clinical and quantum-advantage boundaries.
How the work moves
The path between an ambitious idea and a defensible decision should be visible, testable, and reversible.
About Ubiquitous
Ubiquitous develops software and research across autonomous systems, resilient computing, privacy, and human-centered products.
We move from high-level conversation to architecture, prototype, test, and evidence. Every public claim is limited to what the current artifact can support.
Find the hidden constraint before choosing the technology.
Turn ideas into artifacts people can inspect and challenge.
Separate demonstrated capability from future ambition.
Work with Ubiquitous
Tell us what is blocked, what has already been tried, and what evidence would let your organization move.