Oct 28, 2026 Live demonstration at the BioCrossroads Life Sciences Summit, Hyatt Regency Indianapolis Details →
Foundational hardware security research

Beyond zero trust: hardware-level certainty for critical systems.

We are building a physically verifiable source of truth for digital systems — an unbreakable link to your data at the moment it is created.

Now recruiting pilot partners · biopharma & agri-pharma SEALED · TPM 2.0 Raw telemetry sealed at millisecond zero Protected by a portfolio of 7 pending patents
Why AI needs this

The AI Oracle Problem

An AI model is only as trustworthy as the data it never got to question. Software-only Zero Trust can't prove a sensor reading wasn't altered before the OS ever saw it — so an adversary who spoofs telemetry upstream can make an AI system act with full confidence on a fabricated world.

T+0ms
Raw signal leaves the sensor / bus
T+0ms
Sealed out-of-band, in hardware, before any host OS touches it
chain
Cryptographically chained to every prior reading — tampering breaks the chain
gate
AI / ML ingestion only ever sees sealed data — spoofed input is rejected before inference
Pilot program · Biopharma & agri-pharma

Measure what verifiable data saves in your own lab.

We are looking for biopharma and agri-pharma teams to run a defined pilot of the Zyncra hardware node. The node sits beside an instrument or data path, observes without interfering, and builds a signed, independently verifiable record of the data as it is produced. Together we measure what that record does for audit effort.

How a pilot runs

Scope, duration and terms are agreed in writing before anything is installed.

  1. Pick one data pathA single instrument, system or handoff where data integrity questions come up today.
  2. Place the node alongside itThe node observes only. It does not write to or change your instruments or validated systems, and your quality team reviews it under your own change control.
  3. Run for the agreed periodNormal operations continue while the node builds the signed record.
  4. Measure and report togetherWe compare effort before and after, and hand you the findings along with the verifiable record.

Who we want to hear from

  • Quality and data-integrity leads in biopharma and agri-pharma
  • QC and analytical labs that answer audit and inspection questions about their data
  • Manufacturing and packaging sites with records that regulators and customers review
  • Animal health and agricultural biosciences research and production sites

What the pilot quantifies

Measured with your team, from your own operations.

Labor hours Cost Materials Reputational risk

Interested, or know a team that should be? Tell us a little about your lab and the data path you have in mind. info@zyncra.net

Start a pilot conversation Use the contact form
Live demonstration

See the node work at the BioCrossroads Life Sciences Summit.

Zyncra is exhibiting in the AI Innovation Hub. Stop by the table, watch the demo, and talk through a pilot for your lab.

October 28 2026 · Indianapolis
Hyatt Regency IndianapolisAI Innovation Hub, at the third-floor ballroom entrance
Demo

Data You Can Prove, From the Instrument to the Audit

Watch the node capture data passively, then see the signed record checked independently of the system that produced it. Bring your hardest audit question.

8:00 a.m.Breakfast and AI Innovation Hub open
10:05–10:30 a.m.Program break
11:30 a.m.–12:20 p.m.Lunch
2:30–3:00 p.m.Networking

We will be at the table during these exploration periods. To set a time for a longer pilot conversation, email info@zyncra.net before the Summit.

The core challenge

Digital trust has become fragile.

In today's hyper-connected world, the software and networks we rely on every day are increasingly complex, built upon vulnerable layers that are constantly exposed to sophisticated threats.

Every additional layer of software-based defense — another agent, another certificate, another policy engine — is still software, running on the same host it's meant to protect. It can be patched, spoofed, or silently bypassed the moment the operating system underneath it is compromised.

Zyncra is changing the paradigm: data integrity has to be established in hardware, at the physical layer, before software ever gets a vote.
New frontiers

Where a physically verifiable source of truth matters most.

Six sectors where the cost of unverified data isn't inconvenience — it's failure.

01

Energy & Water

Securing our nation's lifelines — hardware-anchored integrity for the control systems that keep the grid and water supply running.

02

Financial Services

Forging unquestionable integrity in financial markets — audit trails that are provably unaltered from the moment a transaction is recorded.

03

Autonomous Transport

Ensuring safety and trust on the road ahead — sealed vehicle telematics that can't be spoofed en route to a decision-making system.

04

Medical Technology

Protecting patient lives with verifiable data — surgical and monitoring telemetry sealed at the source, not after the fact.

05

Defense & Aerospace

Absolute certainty for mission-critical operations — tactical data networks with a hardware root of trust built for contested environments.

06

Smart Infrastructure

The intelligent foundation for secure infrastructure — data-center and building-automation telemetry that's trustworthy by construction.

AI applications
New

The missing layer beneath trustworthy AI.

Every AI system inherits the integrity of its inputs. Zyncra doesn't build the model — we build the hardware-sealed foundation underneath it, so the sensors, telemetry, and control signals an AI acts on are provably real before a single token of inference happens.

01 Trusted sensor fusion for autonomous & defense AI

Galvanically isolated, hardware-sealed telemetry feeds autonomous vehicle and battle-management decision models — so an adversary who spoofs a sensor upstream can't cause an AI system to act confidently on fabricated data.

TPM 2.0Sensor spoofing defense

02 An AI data-purity firewall

A hardware gate between raw telemetry and any AI/ML ingestion engine, admitting only cryptographically sealed data — so a model's inference is never built on a signal that could have been altered in transit.

Ingestion gatingChain-of-custody

03 Audit-grade provenance for regulated AI

In finance, healthcare, and other regulated sectors, an AI decision is only defensible if its inputs are. Zyncra's tamper-evident ledger gives every AI-facing data stream a physically verifiable chain of custody from creation to inference.

Audit trailCompliance-ready

04 Tamper-evident edge AI for critical infrastructure

Grid, water, and industrial-control AI increasingly acts on its own — with less time for a human to catch a bad input. A hardware root of trust at the edge means the AI making that call is working from sealed, unaltered readings.

Edge AIReal-time control
Positioning note: Zyncra is a hardware data-integrity company, not an AI model developer. Our role is to be the trust layer underneath the AI systems our partners and customers build — the physical guarantee that what an AI is reasoning about actually happened.
Our focus

Two domains, one architecture.

01 — Tactical

Tactical edge & cyber-physical systems

Disconnected, low-bandwidth, and contested environments where a hardware root of trust has to keep working when the network doesn't — from forward-deployed sensors to autonomous platforms.

02 — Infrastructure

Critical infrastructure & industrial control

Command and sensor-data assurance for the systems that run energy, water, and industrial operations — where a falsified reading can mean a falsified decision.

Building a more secure future.

We're actively seeking pilot partners in biopharma and agri-pharma, along with strategic partners, visionary investors, and forward-thinking collaborators who see the same gap in digital trust that we do.

info@zyncra.net Contact form Indianapolis, Indiana