ORI

06/05/2026

📊 The results are in—and Voxel51’s 2026 State of Visual & Physical AI survey gives us a lot to unpack.

Perhaps the most eye-opening stat: Of the 700+ visual, spatial, and professionals surveyed, 100% report their physical or models are underperforming. And data is the prime culprit. Other noteworthy insights:

→ 97% struggle to iterate on datasets
→ 86% say visual AI will become more important to them in the next 3 years
→ But only 34% have visual AI projects in production today

As Voxel51 CEO and Co-Founder Brian Moore says, “For the last few years, the conversation has been dominated by models, benchmarks, and compute. But the people actually building production AI systems seem to be telling a different story: The bottleneck is increasingly around data quality and categorization.”

Honestly, this is just the tip of the iceberg as far as findings go. Read the full report at https://bit.ly/4uBzG18

06/04/2026

How much of your is trusted? Defensible? Explainable? Auditable? Contestable? Sovereign?

And is the hallucination problem disappearing—or just moving into the workflows enterprises are paying the most to run?

's new field guide digs into the data behind these questions. Because if you're scaling AI in 2026, you need to be able to trace, score, and defend the sources behind every model output. Learn:

▪️Why aggregate benchmarks don’t reflect production workflows
▪️How agentic systems amplify risk and cost
▪️Why enterprises need a new metric: Cost Per Defensible Output

Don’t get caught paying the . Read the field guide on defensible : https://bit.ly/3Q1tj8k

And score your AI output with Seekr’s calculator: https://bit.ly/4e57zkc

06/03/2026

In modern federal environments, collecting data isn’t the challenge—it’s processing data into intelligence at the speed of the mission.

If you work with a traditional, non-consultative reseller, you get a software license passed across the table and a "good luck" on implementation. But a box-checker can't help you operationalize computer vision, secure your supply chain, or scale enterprise .

The means we don't just hand you a tool. We deliver the capability to make split-second, data-driven decisions.

As a technology-focused , we have hand-picked and vetted an elite stack of and AI leaders—like Qlik, , Voxel51, and —because they thrive under the pressure of federal mission requirements.

ORI bridges the gap between complex data and actionable intelligence by:

⏱️Accelerating Adoption: Eliminating the friction between market-leading OEM tech and federal environments
📊Powering Advanced Analytics: Enabling rapid, trusted decision making from the edge to the enterprise
🛡️Ensuring Integrity: Delivering AI compliance and data transparency where the stakes are highest

An order-taker sells you a spreadsheet. A consultative partner delivers intelligence at the speed of the mission.

06/02/2026

As CEO Pat Condo sees it, you wouldn’t take a company public without an audit. You wouldn’t release a drug without substantial testing. So why aren’t we setting the same high bar for ?

For high-stakes deployments, the bar is not performance—it’s verifiability.

Condo makes the case for applying equal scrutiny to AI, calling for increased explainability, governance, and verifiability. Retroactive safeguards won’t cut it for edge operations. The highest-risk environments demand stricter AI deployment standards built on an architecture of transparency, traceability, and trusted AI. “The stakes are no longer theoretical ... You cannot patch your way to trust after the fact.”

Read more at

You wouldn't take a company public without an audit. You wouldn't release a drug without trials. The bar for AI should be the same.

06/01/2026

Don’t miss this Wednesday’s webinar: Securing Your Software Supply Chain for CMMC 2.0

With CMMC Phase 2 certification requirements taking effect on Nov. 10 and NIST 800-171 now serving as the shared baseline across and civilian federal contracts, learn what it takes to meet FIPS-validated cryptography and zero-CVE requirements before the deadline hits. Gain a practical roadmap for securing your supply chain and arriving ready for your C3PAO assessment.

You’ll learn about:
✔️When to engage a C3PAO assessor and what they actually look for
✔️FIPS-validated modules vs. the compliance gap
✔️Why NIST 800-171 now extends beyond DoD
✔️Building an audit-ready software supply chain

Save your seat:

With CMMC Phase 2 certification requirements taking effect November 10, 2026 and NIST 800-171 now serving as the shared baseline across DoD and civilian federal contracts, organizations of all kinds face an urgent window to get their software supply chains in order. Chainguard and Schellman, an accr...

05/29/2026

Congratulations to for being named to the 2026 Redpoint Ventures InfraRed 100! The annual ranking honors 100 of the most promising private companies building the core cloud and infrastructure powering the modern application ecosystem.

It’s no surprise, given Chainguard's critical impact on cybersecurity and cloud development:

⛓️Secure-by-default, zero-CVE container images
⛓️AI infrastructure shield powering autonomous agents and applications
⛓️Time-saving remediation and vulnerability patch management

Check out the full list of trailblazers: https://bit.ly/3RFhjdc

05/28/2026

The wait is over. Voxel51 just released the results of the 2026 State of Visual & Physical AI survey—an industry first.

700+ professionals working across visual, spatial, and weighed in, with data challenges and multimodal complexity emerging as key hurdles to moving into the physical world.

The big takeaway: Model failure is a major challenge, with a whopping 100% (as in every single team) reporting underperforming models. 85% say model failures are common. The primary reason? Data.

The top 5 reasons for model failures:

1️⃣ Insufficient training data (57%)
2️⃣ Quality problems (48%)
3️⃣ Domain shifts (43%)
4️⃣ Annotation errors (32%)
5️⃣ Class imbalance (31%)

Check out the full report and key findings 👉 https://bit.ly/4uBzG18

05/27/2026

The May edition of ORI’s Newsletter looks at how public sector leaders are balancing mounting fiscal realities with high-consequence technology demands. Check out the new issue, exploring:

🔸 Inflating estimates for the Golden Dome, why it’s time to raise the bar for trusted , and which priorities are making CIOs feel the squeeze

🔸 How free access to Libraries and Actions (now through June 30) can keep you safe from the growing wave of supply chain attacks

🔸 Key takeaways from recent U.S. Marine Corps, , U.S. Department of Energy laboratory system, and United States Space Force events

🔸 ’s spot on the 2026 CB Insights AI 100 list of the most innovative AI startups

🔸 Dr. Reid Blackman’s newest book The Ethical Nightmare Challenge: How to Avoid the Worst of AI

🔸 Upcoming in-person industry conferences + virtual events on supply chain security, , and more

Read the latest issue and subscribe: https://bit.ly/4veKXEF

05/26/2026

To our fellow Naval Surface Technology & Innovation Consortium (NSTIC) members, will we see you at the 2026 Reverse Industry Day June 2-3? https://bit.ly/4vbj5RY

We’re excited for this members-only event, held in partnership with the Naval Surface Warfare Center Dahlgren Division (NSWCDD). Drop us a line if you’d like to schedule a one-on-one meeting to discuss ORI’s capabilities at the event next week. https://bit.ly/47NGPlI

The Naval Surface Technology & Innovation Consortium (NSTIC), in partnership with the Naval Surface Warfare Center Dahlgren (NSWCDD), is excited to announce the NSTIC 2026 Reverse Industry Day to be held June 2-3, 2026, at the Fredericksburg Expo & Conference Center in Fredericksburg, VA. This event...

05/22/2026

This Memorial Day weekend, we honor the brave souls of the U.S. military who gave everything for our freedom.