Unlocking the last mile

Enterprises today face a frustrating paradox. Despite significant investments in AI and access to powerful large language models, their core workflows still remain manual and messy. Constantly evolving business needs make traditional automation solutions impractical. They're brittle, economically unviable, and fail to scale with complexity.


The challenge is twofold. First, while advances in AI have created an intelligence layer capable of powering enterprises for decades to come, these models stumble at the last mile because they lack access to the business context that actually drives workflows. Second, capturing this context correctly is a monumental challenge. Businesses run on people, processes, and tools, and there's no single source of truth documenting how work gets done. Systems evolve organically, operations adapt constantly, and critical business logic lives scattered across disconnected platforms, ad-hoc scripts, sprawling documents, legacy tools, and often solely in operators' minds.


Brackett's mission is to seamlessly translate your unique business context into a language that AI can understand and act upon. Through our platform, you create intelligent agents that capture every edge case, exception, and nuance of your workflow - without writing code or engineering prompts. Brackett learns by observing real work as it happens, interacting with your systems and adapting in real-time. We bridge the gap between the messy, context-rich reality of enterprise operations and the transformative power of large multimodal models, finally making AI adoption practical for the workflows that matter.


We cannot be more excited about building the connective tissue that brings the AI revolution to the enterprise of tomorrow. If you share the same excitement around solving last mile problems for AI in the enterprise, join us in our mission.


We are looking for exceptional founding engineers to join our team. Details below.

Enterprises today face a frustrating paradox : despite significant investments in AI and access to powerful large language models, their core workflows still remain manual and messy. Constantly evolving business needs make traditional automation solutions impractical - they're brittle, economically unviable, and fail to scale with complexity.


The challenge is twofold. First, while advances in AI have created an intelligence layer capable of powering enterprises for decades to come, these models stumble at the last mile because they lack access to the primary business context driving the actual workflows. Second, capturing this context itself is a monumental challenge. Businesses run on people, processes, and tools, but there's no single source of truth documenting how work gets done. Systems evolve organically, operations adapt constantly, and critical business logic lives scattered across disconnected platforms, ad-hoc scripts, sprawling documents, legacy tools, and often solely in operators' minds.


Brackett's mission is to seamlessly translate your unique business context into a language that AI can understand and act upon. Through our platform, you create intelligent agents that capture every edge case, exception, and nuance of your workflow - without writing code or engineering prompts. Brackett learns by observing real work as it happens, interacting with your systems and adapting in real-time. We bridge the gap between the messy, context-rich reality of enterprise operations and the transformative power of large multimodal models, finally making AI adoption practical for the workflows that matter.


We cannot be more excited about building the connective tissue that brings the AI revolution to the enterprise of tomorrow.


If you share the same excitement around solving last mile problems for AI in the enterprise, join us in our mission. We are looking for exceptional founding engineers to join our team. Details are below.

Hiring specialists

Reinforcement Learning

Seattle/San Francisco/US Remote

PHD or MS candidates only

Front-end Engineering

US Remote/Bangalore

4-5 years experience with front end or browser tech

ML Engineering

Bangalore

PHD, MS or 2-3 years builder experience in the industry

SW/ML Internships

San Francisco/Seattle/Bangalore

Hungry to learn, and eager to build.

Reinforcement Learning

Seattle/San Francisco/US Remote

PHD or MS candidates only

Front-end Engineering

US Remote/Bangalore

4-5 years experience with front end or browser tech

ML Engineering

Bangalore

PHD, MS or 2-3 years builder experience in the industry

SW/ML Internships

San Francisco/Seattle/Bangalore

Hungry to learn, and eager to build.

Reinforcement Learning

Seattle/San Francisco/US Remote

PHD or MS candidates only

Front-end Engineering

US Remote/Bangalore

4-5 years experience with front end or browser tech

ML Engineering

Bangalore

PHD, MS or 2-3 years builder experience in the industry

SW/ML Internships

San Francisco/Seattle/Bangalore

Hungry to learn, and eager to build.

To apply, send an email to careers@brackett.ai with your resume and story.


To apply, send an email to careers@brackett.ai with your resume and story.