The AI Orchestration Platform for Builders, by Builders

Meibel sits between your data, tools, and language models to deliver the three Cs of successful AI implementation: Context, Control, and Confidence.

When Demos Work but Deployment Breaks

Teams build with brittle stacks, such as DIY tooling, RAG pipelines, MCP gateways, custom preprocessing, observability layers, and glue code. Outputs stay inconsistent, sources stay unclear, and performance degrades as data changes.

Standard RAG destroys document structure. Retrieval returns fragments without provenance. Confidence scores arrive too late to act on.

That's the gap Meibel closes.

Meibel Dashboard

What Meibel Stands For

Our Mission

Build the runtime infrastructure that makes AI reliable, measurable, and controlled at scale.

Our Vision

Become the infrastructure layer for AI. The platform that handles complexity so builders can create value.

Meibel Information Tree

What Drives Us

Infrastructure should be invisible.

Standard RAG destroys document structure. Retrieval returns fragments without provenance. Confidence scores arrive too late to act on.

Reliability compounds in use.

Systems improve through feedback loops. Every cycle strengthens the next.

Built for builders.

We're engineers who've run infrastructure at scale. We build tools for product and engineering teams who need AI to work reliably.

Create new capabilities.

AI should unlock what wasn't possible before, not just optimize what exists.

Structure leads to reliability.

Reliability starts with structured ingest, not prompt tuning. Quality must be measured continuously at runtime.

The Three Cs of Meibel

Meibel replaces the brittle stack with one unified platform that delivers Context, Control, and Confidence throughout the execution path.

from your data

Context
Optimization

RAG destroys document structure. Tables become text. Relationships disappear. Meibel unifies structured, semi-structured, and unstructured sources, ensuring every AI decision is grounded in the right data at the right time and in the right format.

Tables stay tables. References resolve. Structure survives because Meibel applies structure at ingest, not retrieval.
over behavior at scale

Control
AI Orchestration

Agent behaviour changes between runs. Same inputs, different outputs. No audit trail. Execution control defines how AI systems act what they can access and when humans stay in the loop across models tools and workflows.

Systems stay consistent as data changes because behavior is governed at runtime.
which you can trust

Confidence
in AI Outputs

The model sounds confident whether it's right or wrong. Your team can't tell which outputs to trust. Understand why an AI produced a result, how it was generated, and whether it meets your standards before it reaches customers.

Teams know what to trust, what to question, and what to block before outputs reach users.

Why We Built Meibel

We built Meibel because we'd lived this problem from three different angles.

Two of us grew up together, went our separate ways, and reunited a decade later when AI needed the infrastructure we'd each been building. The third brought the computational neuroscience expertise to complete the solution.

One of us ran infrastructure platforms that abstracted complexity so teams could focus on products. One built AI systems and saw the deployment gap emerging. One brought the technical foundation to solve runtime evaluation problems.

Together, we built the runtime infrastructure that handles the complexity between data and decisions.

Meibel Dashboard

Meibel Leadership Team

Kevin McGrath

Kevin McGrath is the Co-Founder and CEO of Meibel, bringing over 20 years of experience in cloud infrastructure and platform engineering. He previously served as Vice President and General Manager at Spot by NetApp (2022-2024), where he led a global organization of over 1,000 people, and held roles as Chief Technology Officer and VP of Architecture at Spot (2017-2022). He holds AWS Certified Solutions Architect (Professional), AWS Certified DevOps Engineer (Professional), and earned his BA in Economics and Master's in Computer/Information Technology Administration from University of Maryland.

Kevin McGrath

Co-Founder & CEO
Kiran Devarakonda

Kiran Devarakonda is the Co-Founder and CTO of Meibel, where he drives the technical architecture and platform vision. He brings over 15 years of software development and engineering leadership experience, including roles as Software Development Manager at Amazon Web Services (AWS) (2021-2022) and Director of Development at Spot.io (2019-2021), where he built cloud infrastructure automation and optimization platforms. Prior to that, Kiran held engineering leadership positions at Basket, CoStar Group, and spent over six years at the Association of American Medical Colleges (AAMC) as Lead Software Engineer and Senior Software Engineer. He earned his degree from the University of Maryland and completed coursework in data science through Coursera.

Kiran Devarakonda

Co-Founder & CTO
Spencer Torene

Spencer Torene serves as Principal Research Scientist at Meibel, where he shapes the platform's confidence scoring and runtime evaluation systems. He holds a Ph.D. in Computational Neuroscience from Boston University (2010-2017) and brings expertise in machine learning and AI research. Prior to Meibel, Spencer spent over six years at Thomson Reuters Special Services, progressing from Senior Research Scientist to Manager of Research and Development (2018-2024), where he led AI and machine learning R&D initiatives. He earned his Bachelor of Science in Computer Science from the University of Maryland (1999-2004) and completed the Leadership and Management Certificate Program at Wharton Online (2021).

Spencer Torene

Principal Scientist
Adam Morson

Adam Morson leads Finance and Operations at Meibel, overseeing financial strategy, and operational alignment across the company. He brings 25 years of experience in software and SaaS, and expertise in scaling Finance teams, and executing growth strategies. Prior to Meibel, Adam served as CFO at Trinity Cyber, where he led finance and accounting functions, guided investor relations, and supported strategic initiatives such as financing, acquisitions, and exits. Before that, he was CFO of SaaSOptics (now Maxio), and helped scale ScienceLogic from $1M to over $100M in ARR.

Adam Morson

Head of Finance &Operations
Aaron Aguillard

Aaron Aguillard leads Strategic Growth at Meibel, building enterprise partnerships and scaling go-to-market strategy. He brings over 15 years of experience scaling revenue and building strategic alliances in AI, SaaS, and cybersecurity. Prior to Meibel, Aaron served as Founding CRO at Qualifire (2024-2025), an AI security startup where he secured partnerships with TCS and Google Cloud and built the GTM foundation from pre-launch to enterprise traction. Before that, he spent four years as Director of Channel Sales at Namogoo (2020-2024), generating $7M+ in net-new ARR through global partnerships with AWS, Microsoft, Infosys, TCS, Deloitte, and BCG. Aaron earned his Bachelor of Science in Technical Marketing Management from Jerusalem College of Technology (2003-2006).

Aaron Aguillard

Head of Strategic Growth

Who Builds With Meibel

Product and engineering teams building AI systems that need to work at scale.

Teams who know AI is the answer but have struggled to make it work reliably.

Teams using AI to create new capabilities their industries haven't seen before.

What Our Clients Say

Trusted by AI Builders Worldwide

Dave Baber, Managing Director, Toffler Associates
Dave Baber
Managing Director, Toffler Associates

“Meibel's Generative AI platform has unlocked the full potential of SINE, our foresight analysis and scenario product. The Confidence Framework builds trust and transparency into SINE’s AI-driven insights that empowers our customers to confidently navigate complex strategic planning.”

Dan Wroten, Senior Vice President, Public Sector FAST
Dan Wroten
Senior Vice President, Public Sector FAST

“Meibel’s Generative AI Platform allows FAST, along with our subordinate Supporting Effort, to expand the scope of US Army projects we are bidding on. We now deliver AI within our solutions that opens new opportunities, ensuring the military of the transparency, accountability and confidence they require.”

Paul Liggett, CEO, Cloud Eleven
Paul Liggett
CEO, Cloud Eleven

“Meibel is a foundational technology for our Generative AI practice. Our customers demand accountability and transparency from AI solutions, along with seamless integration into their existing operations and workflows. Meibel's platform delivers on all fronts.”

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Ready to Build Confident AI?

See how Meibel delivers the three Cs for AI systems that need to work at scale.

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