Programming languages
Explore language design that makes software clear, safe and fast to build. Blueberry's .bb direction is an early environment for experimenting with syntax, types, tooling and runtime ideas.
Blueberry Research explores technologies before they become products—starting with programming languages, AI and computing systems, then expanding toward the physical world.
The earliest Blueberry research is deliberately concentrated. Strong languages, tools, AI systems and infrastructure can become reusable foundations for nearly everything that follows.
Explore language design that makes software clear, safe and fast to build. Blueberry's .bb direction is an early environment for experimenting with syntax, types, tooling and runtime ideas.
Study parsers, intermediate representations, diagnostics, build systems, package workflows, language servers and the full path from source code to a useful developer experience.
Investigate small and large models, local inference, training, memory, tool use, multimodal interaction, evaluation and AI systems that can meaningfully assist people.
Explore interfaces that reduce friction: adaptive systems, better creative tools, natural interaction, accessible design and software that feels simpler without becoming less capable.
Research identity, synchronization, storage, edge computing, reliability and service architectures that can connect Blueberry products without unnecessary complexity.
Not every field below is an active product program. The map describes where Blueberry Research can expand as the company gains the expertise, capital and technical foundations to explore responsibly.
Syntax, semantics, types, runtimes and new ways to express software.
Models, agents, memory, inference, training, evaluation and human-AI collaboration.
Computing environments designed around modern development, intelligence and devices.
Edge systems, resilient services, synchronization and globally available software.
Devices, sensing, embedded systems, new form factors and human interfaces.
Accelerators, controllers, SoCs, hardware/software co-design and efficient compute.
Simulation, manipulation, mobility, autonomy and useful machines in the real world.
Networks, connectivity, resilient communications and new infrastructure models.
Wellness systems, sensing and—only with mature safety and compliance—regulated health technologies.
Materials, manufacturing, energy systems and technologies that make physical products better.
Intelligent mobility built on software, AI, compute, sensing, robotics and energy.
Aviation, autonomous systems and advanced research where Blueberry's earlier technologies may eventually converge.
These years are directional gates, not promises or deadlines. Later work should move only when earlier stages have earned the resources and expertise required.
Research should be ambitious without becoming detached from reality. These principles keep Blueberry's exploration grounded.
Prototypes produce sharper questions than speculation alone. Make the smallest artifact that can test the idea.
Define the claim, baseline and evaluation before declaring an experiment successful.
Research is more valuable when others can understand the assumptions, methods, limitations and results.
As systems become more powerful or enter regulated physical domains, safety, security and governance must mature with them.
Prefer technologies that create leverage across multiple future products rather than isolated demonstrations.
Move into harder fields only when Blueberry has the resources, expertise and reason to do so responsibly.
A lightweight research loop keeps projects moving without confusing experiments with production commitments.
State a precise problem or hypothesis and why it matters.
Build the smallest credible implementation that can reveal something new.
Compare against a baseline with tests, measurements, failure cases and limitations.
Publish, archive, open-source or transfer useful findings into a product team when ready.