Qira LLC · Connected software ecosystem

One account. Multiple systems. Verifiable work.

Qira builds connected software for AI execution, efficiency measurement, inspectable records, secure verification, model research, and applied intelligence — under one account layer.

Build → Measure → Record → Verify → Improve. Oort is the identity and access layer so Flows, Ledger, AEX, QEV, LOLM and PTI work as one system instead of isolated apps.

Built by Qira LLC · Phoenix, Arizona + Littleton, Colorado

Architecture

The Qira ecosystem

Build → Measure → Record → Verify → Improve. Shared infrastructure. One account.

Also built by Qira: WeSearch — open chronological news without engagement ranking. · All product pages

How it fits

Built to work together

Not a portfolio of separate experiments — a loop: build, measure, record, verify, improve.

Flows does the work.

Structured AI execution with real builders, verification, and recovery when something fails.

AEX measures efficiency.

Attribute energy to useful AI work, compare against defensible baselines, and produce evidence you can keep.

Ledger records the run.

Persistent, inspectable evidence of AI-assisted activity — designed to stay with your account.

QEV protects the evidence.

Encrypt, sign, transfer, and independently verify packages across browser, CLI, desktop and mobile.

LOLM researches efficiency.

Hybrid architectures and adaptive training aimed at better models — AEX can measure the improvement.

Oort knows the account.

Identity, connections, usage, access and subscriptions — the connective tissue of the ecosystem.

LOLM researches efficiency. AEX measures it. Ledger records the run. QEV protects the evidence. PTI applies Qira systems to transportation.

Platform

Oort — the account layer

If Qira is the company, Oort is how the products share identity, connections, usage and billing.

Shared infrastructure

One Qira account across products

Sign into Oort, then open Flows, Ledger, AEX, QEV, LOLM or PTI as the same person — not six unrelated logins. The Qira Apps launcher connects the product surfaces with real product branding.

  • Identity — canonical Oort user across participating apps
  • Connections — GitHub, Replit, AI providers with real status
  • Usage — product-specific consumption under one account
  • Billing — subscriptions and entitlements managed centrally
  • Qira Apps — shared launcher with distinct product marks

Company

Founders

Building the intelligence organization layer for the AI economy — Phoenix and Littleton. Company pages →

Brandyn Leonard, Co-Founder of Qira

Brandyn Leonard

Co-Founder
Littleton, Colorado

Brandyn Leonard is the Co-Founder of Qira, building the intelligence organization layer for the AI economy.

As AI systems become more capable, the next challenge is not access to intelligence — it is organizing, verifying, coordinating, and applying intelligence at scale. Qira was created to solve this problem by building infrastructure that connects AI systems, human decisions, and real-world operations.

His work spans AI research, workflow intelligence, verification systems, and applied infrastructure designed to help the next generation of organizations operate with greater speed, trust, and autonomy.

Bryan Leonard, Co-Founder of Qira

Bryan Leonard

Co-Founder & Systems Lead
Phoenix, Arizona

Bryan Leonard is the Co-Founder of Qira, working across product, systems, and applied AI infrastructure as part of the team building Qira’s intelligence organization layer for the AI economy.

His work focuses on turning emerging ideas in AI, verification, and coordination into usable systems — connecting software, data, tools, evidence, and real-world operations.

At Qira, he works across the company’s product ecosystem, including Flows, Ledger, QEV, AEX, Oort, and Phoenix Traffic Intelligence, with a focus on systems architecture, product development, integrations, and deployment.

Together with Brandyn Leonard’s work in model research, network dynamics, and adaptive intelligence, his work helps bridge Qira’s research and its applied systems — building toward infrastructure where intelligence can be organized, measured, verified, and used more effectively.