Expertise
Explore the questions behind our nine areas of focus.
Foundations
AI models
Capabilities, architecture, and technical differentiation.
Questions we explore
What capabilities change the user’s workflow? How do quality, data requirements, and inference cost interact? What remains differentiated as baseline models improve?
Related portfolioCompute & inference
Infrastructure for training, deploying, and serving models.
Questions we explore
How does the system behave under real load? What drives cost and latency? How much operational work is required to keep it reliable?
Related portfolioData infrastructure
Databases, storage, pipelines, retrieval, and business context.
Questions we explore
How is data kept fresh and useful? What consistency and access patterns are required? Can the architecture fit the buyer’s data estate?
Related portfolioBuilding with AI
Developer tooling
Tools for building, changing, and operating software.
Questions we explore
Does the product remove a recurring engineering bottleneck? Does it preserve context and control? What is the cost of integrating it into an existing workflow?
Related portfolioAgent platforms
Context, memory, tools, and orchestration for agentic work.
Questions we explore
What can the agent actually complete? How are permissions and exceptions handled? How is context maintained across actions and over time?
Related portfolioEvaluation & experimentation
Methods for measuring behavior, reliability, and product impact.
Questions we explore
Are tests representative of real tasks? Can teams detect regressions? Does a quality improvement translate into a better user or business outcome?
Related portfolioEnterprise readiness
Security & governance
Identity, access, policy, and risk management.
Questions we explore
What actions and data need protection? Are controls visible and enforceable? Can the organization adopt AI without losing accountability?
Related portfolioObservability & reliability
Understanding and operating AI systems in production.
Questions we explore
Can teams see why a system failed? Can they trace changes in models, data, and tools? Does the product support an effective response?
Related portfolioApplied AI
Applications that change how a specific job gets done.
Questions we explore
Is the problem important to the people doing the work? Does the product fit the surrounding process? Can value be demonstrated in actual use?
Related portfolio