Reality before simulation
Customer facts, policies, tools, rights, and valid outcomes come from approved sources and qualified experts. Missing reality remains a blocker; the platform does not fill it with plausible industry lore.
About Gradia
AI Research & Implementation Lab.
From research to the real world.
Gradia combines AI research, evaluation and hands-on enterprise delivery. We are building reusable, adaptable software capabilities that connect business workflows to the evidence of what works. Our direction brings together Blocks, Factory, Verify, Workers and Intelligence.
Each new capability should carry standardized operating evidence. Gradia Intelligence is being developed to connect that evidence to business questions about outcomes, handoffs, exceptions and cost, with missing data and uncertainty visible.
Gradia has acquired AxiomConsulting.ai as its implementation, forward-deployed AI engineering and architecture arm. Axiom combines Gradia capabilities, other licensed tools, existing customer systems and custom engineering to deliver complete solutions.
01 · Work
A platform and an implementation arm
Gradia develops the reusable product layer. AxiomConsulting.ai handles discovery, architecture, hands-on engineering, integration, migration, testing and operational handoff. Reusable improvements can enter Gradia's catalog after rights, quality and maintenance review.
Blocks and the wider software-factory platform are in development. Existing evaluation tools, Guard and workflow evidence provide a foundation; the marketplace and qualified Workers remain on the roadmap. Verification of Axiom-delivered work is first-party assurance, with customer acceptance and external review handled separately.
A structured discovery process compiles approved expert reality into a versioned specification. The same contract drives custom universes, tasks, model runs, human review, failure analysis, benchmark maintenance proposals, training-ready exports when rights permit, and signed evidence that can be checked offline.
Worlds may also change while an agent works. Those changes are declared, controlled, replayable, and bound to before-and-after world roots so an interruption is evidence—not theatre.
02 · Standard
How Gradia works
Evaluation before promotion
AI can discover, propose, generate, and diagnose. A separate accountable human approves scope, releases evidence, or changes an operating benchmark.
Evidence before a headline
A result binds the exact task, world, model, scaffold, judge, runtime, and evidence used to produce it. Infrastructure failures and unassessable work are not counted as model failures.
03 · Team
The people building Gradia
Gradia is founder-led, combining applied AI research with more than a decade of enterprise production experience so pilots can move from expert reality to accountable production evidence.
Rudy Celekli
Founder & CEO · CTO · Research Engineer
Rudy leads Gradia's research and engineering direction, working directly with AI labs on data, evaluation and benchmarking. His open-source contributions span AI infrastructure and developer tools. He brings more than a decade of enterprise implementation experience; AxiomConsulting.ai's team provides the hands-on architecture, integration and delivery arm.
The people behind the work
Research depth.
A team that implements.
Founder Rudy Celekli leads Gradia's research and engineering direction, bringing open-source AI infrastructure work, direct AI-lab data and evaluation experience, and enterprise implementation.
Axiom's team brings the architecture and hands-on delivery. Research, implementation and review have explicit responsibilities, from the first workflow discussion through integration and operational handoff.
Selected enterprise implementation experience across Rudy and the team includes:
DLA · Chevron · Toyota · Nestlé · Grupo Salinas · Banco Efectiva
Professional experience across enterprise engagements.
Founder · Public open-source work
Rudy is a #1 contributor to iFixAi and open-dots, and a top-5 contributor across 16 public projects.
Those projects have 929,595 combined GitHub stars and 152,172 combined forks. The work spans AI infrastructure, agents, developer tools and automation.
GitHub Contributors API positions, checked 2026-10-15 at 04:13 UTC. Repository stars describe the projects, not unique users or Rudy's personal impact. These are repository-specific ranks, not a global or GitHub Trending rank.
Inspect the 16-project contribution cohort
| Project | Rank | Stars |
|---|---|---|
| ifixai-ai/iFixAi | #1 | 27,631 |
| Anil-matcha/open-dots | #1 | 5,787 |
| harry0703/MoneyPrinterTurbo | #2 | 130,986 |
| mvschwarz/openrig | #2 | 7,469 |
| thedotmack/claude-mem | #2 | 100,807 |
| msitarzewski/agency-agents | #2 | 160,136 |
| proffesor-for-testing/agentic-qe | #2 | 501 |
| ruvnet/ruflo | #2 | 74,704 |
| debpalash/OpenGTM | #2 | 52 |
| coreyhaines31/marketingskills | #2 | 54,784 |
| mohit67890/imajev | #2 | 386 |
| openclaw/Peekaboo | #3 | 5,317 |
| morluto/rea | #4 | 247,640 |
| tester-army/e2e | #4 | 10,558 |
| cathrynlavery/diagram-design | #4 | 55,431 |
| zhayujie/CowAgent | #5 | 47,406 |
04 · Company
Built with in Charlotte and SF
Gradia is being built between Charlotte and San Francisco, close to the enterprises putting AI to work and the researchers pushing it forward. We are starting with hands-on pilots because the details that matter live with the people who do the work. Our job is to listen carefully, build responsibly, and make what works easier to see.
Rudy leads the research and product direction. AxiomConsulting.ai's team owns hands-on architecture, engineering, integration and delivery, with responsibilities agreed for each engagement.