Applied AI Research + Product Development

From AI research to
working products.

DataKnife investigates emerging technologies, prototypes new approaches, and builds production-ready software for our own ventures and our clients.

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Research · prototyping · product design · full-stack development — under one roof.

01 The gap we fill

Research discovers possibilities. Products make them useful. We do both.

Research teams often stop at papers and prototypes. Development agencies often begin with a fixed specification. DataKnife works between those two worlds: we investigate the problem, test possible approaches, identify the right product, and build it for real use.

  1. Investigate Understand the work, the people, and the constraints.
  2. Prototype Test the hardest assumption before building everything.
  3. Build Turn the validated approach into reliable software.
  4. Improve Evaluate, refine, and uncover the next question.

02 Featured work

What we are building

Our internal projects act as both products and research environments. They let us study difficult interaction and operational problems while developing systems that can be used in practice.

Active prototype AI products

Ambient Agent Dashboard (working title)

An attention-aware interface for coordinating multiple AI agents without reducing their work to blank notifications and walls of text.

Research question
How should an interface ration human attention across many AI agents doing long-running work?
Product outcome
A desktop coordination surface where agent activity is visible at a glance and interruptions are earned, not constant.
Research and product development AI products

Construction Field Assistant (working title)

A context-aware assistant designed around the documents, communication, physical environments, and fragmented workflows of construction teams.

Research question
What does an AI assistant need to know — and how must it listen and speak — to be useful on an active job site?
Product outcome
A voice-first assistant that retrieves plans, photos, schedules, and job context for people whose hands are full.
Experimental tool Developer tools

Terminal Task Manager (working title)

A terminal-native task system that keeps planning connected to the environment where development work actually happens.

Research question
Why do developer task lists decay, and what happens if tasks live in the same context as the work — commands, files, and sessions?
Product outcome
A CLI task manager where tasks stay linked to the repository, session, and commands they came from.
Active development Public-interest technology

Nonprofit Outreach Platform

A communication and campaign platform that helps nonprofits organize outreach through reusable templates, automated email, texting, and contact workflows.

Research question
How much outreach capability can a small nonprofit team actually operate — and what does software look like when it respects that limit?
Product outcome
A campaign platform where a small team can run organized, multi-channel outreach without a dedicated operations person.

03 Ways to work with us

Bring us a difficult problem, not a finished specification.

Applied research and opportunity discovery

For organizations that see an opportunity but do not yet know what product should be built.

  • Workflow analysis
  • Technical investigation
  • Feasibility evaluation
  • Product opportunity map
  • Prototype recommendation

Experimental prototype

For organizations that need to prove an idea before committing to full production.

  • Functional prototype
  • AI integration
  • Technical experiment
  • Pilot deployment
  • Findings report and roadmap

Product development

For organizations ready to turn a validated idea into reliable software.

  • Product strategy
  • Interface design
  • Full-stack development
  • AI system integration
  • Deployment and monitoring

Research-to-product partnership

DataKnife operates as an external research and product team — continuously investigating, prototyping, building, and improving.

  • Ongoing investigation
  • Continuous prototyping
  • Product development
  • Evaluation and iteration
Discuss a Project

04 Capabilities

Capabilities across the full product lifecycle

Research

  • Applied AI research
  • Human–AI interaction
  • Workflow and domain investigation
  • Technical feasibility
  • Benchmark and evaluation design
  • Experimental design

AI systems

  • Agent systems
  • Retrieval and memory
  • Document intelligence
  • Voice and multimodal interfaces
  • Model integration
  • Evaluation and observability

Product engineering

  • Product strategy
  • UX and interface design
  • Web and desktop applications
  • Developer tools
  • APIs and integrations
  • Operational dashboards

Production

  • Deployment
  • Testing
  • Performance
  • Security review
  • Monitoring
  • Documentation and iteration

How an engagement works, phase by phase →

05 Research

Research that becomes infrastructure, interfaces, and products

Experiment

Task Context Decay in Terminal Workflows: An Experiment Design

We hypothesize that task abandonment is driven by loss of capture-time context rather than loss of intent — and specify the experiment that would confirm or refute it.

Experiment design — data collection not started Developer tools
Explore All Research

06 Why DataKnife

Why work with a research-driven product studio?

We can begin before the answer is obvious

Clients do not need to know the final product in advance. Research and prototyping are part of the engagement.

We connect technical possibility to human use

A model performing well is not enough. The system must fit the user’s attention, environment, workflow, and constraints.

We build beyond the demonstration

Successful experiments continue into production software rather than being discarded after a proof of concept.

We produce reusable knowledge

Research findings, evaluations, and system insights improve the product and create a stronger foundation for future work.

Working on a problem that existing software does not understand?

Tell us about the workflow, users, constraints, or technical idea. You do not need to arrive with a complete product specification.

Start a Project Research Collaboration