Validiti is a technology development company. We build practical infrastructure for the problems that matter now and the ones that will matter next.
Zero comparable stacks. Because nobody else has the substrate.
Each Validiti product solves a specific real-world problem operators face today. Together, they're a stack.
The people running the largest AI infrastructure on the planet keep naming the same problems. Validiti ships against each of them today.
I believe that computing demand has increased by 1 million times in the last 2 years — the amount of computation we need at this point, as a result of agentic AI and reasoning, is easily 100× more than we thought we'd need at this time last year.
Jensen Huang, CEO, NVIDIA · GTC 2026 keynote
What we ship: Validiti Accelerate — cache the common path, so the compute you pay for is only the genuinely novel signal. Drop GPU usage to 10%.
As we solve the transformer shortage, there will be the fundamental electricity generation shortage. People are going to start hitting challenges with power generation maybe by the middle of next year.
Elon Musk, founder, xAI · CNBC, 2025
What we ship: Validiti Accelerate — substrate cache hits eliminate the model dispatch entirely. Less GPU, less power, fewer transformers, smaller bill.
Hallucination is not a solved problem. This will be one of the biggest things we all grapple with for the next decade.
Sundar Pichai, CEO, Google
What we ship: Validiti Provenance — every claim a model produces gets verified against a signed corpus before it leaves the wire. Per-claim labels: VERIFIED, PARTIAL, NO_SOURCE.
The bottleneck isn't raw intelligence; it's reliability across long chains of logic. If an AI is 99% accurate, but a task requires 100 steps, the probability of success is mathematically low (0.99100).
Sam Altman, CEO, OpenAI
What we ship: Validiti Provenance — substrate-grounded answers stop compounding error because each step verifies against a known source instead of inferring from the last step. Subscribe to curated Knowledge packs as part of Provenance; Distill builds a custom Knowledge corpus from your own data.
AI is expensive, opaque, slow on slow connections, dependent on cloud-only infrastructure, and trained on data of unknown provenance.
When the four parts above run together, the result is Accelerate. AI inference at a fraction of the compute cost, on a stack where data, math, security, and connection are integrated by design, not bolted on. Triple throughput. Ninety-percent-plus GPU drop.
Shared LLM pools make every user a row in someone else's logs. Per-user state gets bolted on with cookies and rate limits. There's no signed receipt that THIS user got THIS answer — and no auditable trail when a regulator asks.
Every user gets their own AI substrate — a sealed partition over the VSS-backed cache. Every interaction is signed by Pacta. Every answer carries a verifiable receipt the user can hand to a regulator. Production-ready. 455 tests. VSS-backed. Sits inside Accelerate as the per-user dimension.
LLMs invent drug names, fictitious citations, and facts that sound real. Reviewers can't catch all of it. Reputation, lives, and lawsuits ride on the ones that slip through.
Paste an LLM draft, get the same content back with every claim labeled — VERIFIED, PARTIAL, or NO SOURCE. The records are yours; we never see them or the text. A made-up drug surrounded by real medical prose still labels NO SOURCE — the prose can't rescue what isn't in your records.
Provenance includes Knowledge — a paid service of curated, drift-maintained brain databases by domain (medical, legal, scientific, foundation). Subscribe to the brains your work touches and ground claims against them. Distill is the function that builds a custom Knowledge corpus from your own data — an engagement that turns your literature, case files, or proprietary records into a deployable, drift-maintained brain pair.
Breaches are detected weeks after they happen. The audit log is a coroner's report.
Watches every piece of the stack — process, network, file, behavior — at runtime. Tampering is caught when it happens, not when the audit finds it weeks later. Speaks every SIEM you already use. The same engine that protects validiti.com.
Auditors ask for the trail. The trail lives in six different products. The trail looks different in each. The auditor leaves with screenshots and a hopeful attestation.
A read-only aggregator that subscribes to the signed event streams from DMS, Titus, Accelerate, Provenance, Media, and PCI. One question, one verifiable trail — for SOC 2, HIPAA, FedRAMP, internal audit, regulator request, breach disclosure. Not screenshots: a chain auditors verify themselves.
Files multiply, versions drift, audits fail, and recovery is a prayer.
All your data versioned, queryable, recoverable, and built for the way your operations actually work. Documents, records, media. Drops in front of the storage you already have; your bucket stays yours.
AI scale lives in giant data centers because that's where compute is. But every laptop, workstation, and server idles most of the day. The compute already exists — nobody's pooled it across owners with verifiable trust.
Your idle CPU, GPU, storage, and bandwidth become a global compute pool. Contribute what you don't use; earn credits; spend them on Validiti software. Trust scores are public, multi-dimensional, and uninfluenceable — recomputed live from the Pacta-signed audit chain. You earn what you'd otherwise pay.
Every product on this page rides on the same seven always-on primitives — the same trust anchor, the same signed-event spine, the same runtime defense. Not a security menu you assemble. Substrate the SKUs are built on, included with every install.
See the substrate →Every product speaks its own dialect. Integration eats half the engineering budget. Every wire is a bandwidth bill, a trust boundary, and a security risk — on an internet that forgets every byte the moment it crosses.
Pacta is the fabric the rest of the stack runs on. DMS speaks Pacta to Maths. Maths speaks Pacta to Titus. Titus exports its events as Pacta. Bandwidth between any two Validiti products collapses ~42×; every transmission is tamper-evident at every hop. Carried over every wire — internet, WiFi, cellular, satellite, fiber, and the license-free 902–928 MHz ISM radio band. Receive free, forever. Broadcast nearly free. The integration isn't a layer — it's the same fabric all the way down.
Cloud AI sees every query you type. Personal AI either runs in someone else's data center or doesn't run at all. Loaded knowledge, swappable personalities, local API — nobody ships that as one .deb.
Personal Cultivated Intelligence. Install the .deb, load the brains and personas you want, query and converse in your own private memory layer. No cloud, no subscription tax, no data leaves your machine. Desktop GUI or headless server — same package, different start flag.
Robot motion takes 18–1,000 ms per decision, depends on GPU clusters, every robot moves identically, and adapting to a new task requires weeks of retraining.
Not artificial intelligence. Not a neural network. The reflex layer between the brain and the body that makes movement instant. 0.2 ms motor decisions on a $5 chip. Learns on-device, every cycle. Each robot develops its own motion personality from accumulated trajectory experience.
MCI lets a machine move. The sensors that tell it what to move toward get summarised, sampled-and-discarded, retrained in the cloud. Neither edge AI nor TinyML remembers what a specific sensor actually saw at 5 kHz yesterday.
Per-channel pattern emergence at $5-microcontroller speed. 0.2 ms sample classification; 25 Hz to 5 kHz on the same engine. Every sample indexed per device, every drift recognised as this sensor drifting. Paired with MCI, this closes the loop — the sensors that recognise feed the motors that respond, both on the same substrate.
CAPTCHAs that worked in 2023 don't anymore. AI agents solve reCAPTCHA in milliseconds. Most CAPTCHA replacements are SaaS — your traffic, their endpoint, their pricing curve. We needed a free, self-hosted thing a developer would install on a Tuesday afternoon and notice we were in the room.
Connect-the-dots visual challenge with combinatorial state shuffling between every move. Same sealed engine, same trust anchor, same Titus runtime defense as every other Validiti SKU. You self-host. We don't see a single request. The other fourteen products are how the company makes money; this is the introduction.
Deepfakes are now indistinguishable. Watermarks get stripped. Photo-of-evidence is no longer evidence. Image / audio / video provenance is the new defaulted-broken layer.
A codec that seals an origin chain into the file at capture. Re-encode, re-edit, deepfake, splice — the chain breaks and the verifier knows. Image is shipping; audio and video on roadmap. Verifier is free; encoder licenses by volume. Pairs with Provenance and Audit for end-to-end chain of custody.
GPUs cost a fortune, models guess, cloud round-trips for arithmetic that should run on a phone.
CPU-native math directly on the data — no GPU required, no model in the loop. The numbers the data already implies, computed in microseconds. Sub-millisecond on a 100,000-row mean. Sixty-plus operations no other tool offers.
Working sets outgrow RAM. Redis clusters are an operational tax. Paging to disk wrecks latency. Sharding adds complexity to every query.
An in-process memory layer that holds working sets in compressed form — and queries the compressed bytes directly without ever decoding them. Same physical RAM, more cache. Same workload, fewer machines. Replaces the Redis node, not the access pattern.