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How We Work With You

Embed us within your teams and organization, hire us to help with one-off projects, or book us for an AI training session.  

We don't have a $10M minimum.

• Individuals/Teams

Equip teams and executives with targeted support for ad-hoc projects, automations, and upskilling. Focused one-off projects and training sessions.

• Multiple Teams

Break down silos and streamline collaboration. We design integrated solutions that simplify workflows and connect your data, teams, and tools.

• Organizations

Build strategically. From AI roadmaps to production-ready applications, we help you move from legacy systems to AI rails and long-term impact.

Why you need AI experts.

Everyone’s trying AI. Very few are succeeding.

AI projects fail because leadership underestimates what it takes to get from idea to prototype to product.

95%

Failure Rate

Percent of AI pilots that fail to deliver intended value. (MIT)

70%

Fail Reason: People & Process

Percent of failures attributed to people and processes—not tech. (BCG)

41%

Adoption Surge

SMB AI adoption jumped 41% in 2025, with over half using it daily. (Thryv)

51%

AI Knowledge Gap

SMB leaders admit limited understanding of how AI fits their business. (Omdena)

Even when the tech works, there are real challenges to overcome:

Hallucinations

LLMs generate fluent but false answers when context is missing—making outputs unreliable and hard to trust.

False Negatives

AI says the info isn’t there. It is—it's just buried in a table, chart, or scanned PDF that hasn’t been
processed properly.

Pipeline Complexity

AI systems depend on multi-step pipelines: ingestion, preprocessing, chunking, embedding, retrieval, and orchestration. 

Data Leakage

Without rigorous access controls, sensitive or private data can leak into embeddings, output responses, or logs.

Security Flaws

Code generated by AI can introduce subtle bugs or security flaws: insecure defaults, unvalidated inputs, unsafe libraries, or missing authentication.

Infrastructure Debt

Legacy systems often lack the data architecture, processing speed, or memory requirements to support modern AI workloads.

Model Drift

The model worked when you launched. But now your data or the model has changed—and responses are slowly getting worse.

Blindspots

AI systems are difficult to test in production. Without labeled data, benchmarks, or user feedback loops, teams can’t track accuracy, coverage, or model degradation.

Bad Data

Without governance, controls, and evaluation, bad data spreads through AI projects, degrading quality and trust and often leading to project failure.

Retrieval Failures

RAG systems break when chunking, ranking, or embeddings don’t align—causing the model to miss or ignore relevant data.

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Waiting isn't a strategy for AI.

Get started by finding out if AI is the right solution for your problem—then learn what it takes to make it work for you.

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You don't need to become an AI expert. We are.

Success with AI requires specialized skills: data science, engineering, research, product development, project management, and professionals with deep domain expertise. 

A partner focused on problem solving.

Most companies are flooding themselves with tools, experiments, and pressure to “do something with AI.” We help you focus on what matters—building solutions to real problems.

Deep Experience in Key Industries

Our team comes from data- and regulatory-heavy sectors. 

01 Finance

Two decades of experience across private wealth, alternative investments, and fintech, working at firms like iCapital, Man Investments, and Glenwood Capital, and serving clients including SMFG, Mizuho, GM, Hightower, Raymond James, and many others. With backgrounds in sales, marketing, communications, product, and research, we bring an insider’s view of how the industry works—and where AI can make it faster, smarter, and more efficient.

02 Healthcare

PhD and postdoctoral expertise from leading institutions like Osaka University (Medicine), Kyoto University (AI/NLP), and the University of Maryland School of Medicine. This deep academic foundation, combined with professional networks across Japan, China, and the U.S., helps us apply cutting-edge AI to critical clinical- and research-related challenges. We are committed to developing solutions grounded in real healthcare needs, moving beyond abstract theory to create tangible impact.

03 Others

We’ve modernized construction workflows in Japan, delivering automation tools to firms like Sankou Scaffolding. Experience in reading CAD with AI and deep knowledge of Japan’s strict building standards, we know how to bring meaningful upgrades without breaking trusted processes. If you have expertise in any field and want to explore how AI can be applied, we can help.

We're documenting how data science, generative AI, and deep domain experience can be used to drive real-world innovation. 

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