Start with Management and Business Challenges
We clarify business goals and operational challenges, then define priorities, expected returns, and the team needed to execute, considering both management and frontline perspectives.
We work alongside your management team to advance business growth and operations with AI. We compare existing tools, workflow integration, and custom development, then support the right approach from selection through implementation and adoption.
Centered on management and business partnership, we combine AI adoption planning, development, and operations to meet your challenges and stage of growth.
Business Partnership and AI Adoption Planning
Starting with management challenges and business goals, we compare AI adoption options and work alongside you on strategy, workflow design, execution, and impact assessment.
AI Products and Conversational AI Platforms
We provide consistent support for the planning, development, and operation of conversational AI, recommendation, and generative AI products using LLMs
Data, Recommendation, and Matching
With a focus on HR and talent, we deliver results through the design and implementation of recommendation algorithms and matching engines
Cloud Infrastructure / SaaS, Web, and Mobile Development
From infrastructure and CI/CD across AWS, GCP, and Azure to SaaS, web applications, and iOS and Android apps, we take ownership from planning and development through operational improvement
Engineering for Highly Constrained Domains
An engineering team with experience in fields requiring high quality and safety standards—including audit, healthcare, manufacturing, and energy—will support your project
A track record of building businesses across AI agents, cloud, SaaS, mobile, and highly constrained domains
Automated inquiry handling, report creation, and approval workflows with AI agents, reducing work by several hundred hours per month
Developed an AI platform where fans can interact with talent and IP characters, contributing to higher engagement
Developed and operated Diagramming AI, an AI-powered diagram generation service for users worldwide
Planning and developing our own SaaS product for 3D character modeling
Analyzed user behavior and organic acquisition, improved site structure, journeys, and content, substantially increased SEO traffic, and raised conversion rates
Used AI to streamline the creation and checking of contracts and application documents, significantly reducing review time and standardizing quality
Implemented AI-based evidence checks and risk detection for an audit firm, improving audit quality while reducing work
Developed AI services for the healthcare industry to support slides, images, and written content structuring, including automated video voiceover and slide production and AI-assisted legal review of video slides and text
Improved productivity through manufacturing-line anomaly detection, energy-efficiency optimization, and control-logic development for embedded systems
Launched a web service as a new business and led its development, CI/CD, day-to-day operations, and continuous improvement
Objective and KPI Design
We first define what you want to achieve and design KPIs that make return on investment visible, clarifying the goal before development
Test Small (PoC), Then Invest Where It Works
We test the hypothesis with a two-to-four-week PoC, then move to production implementation in areas where results are confirmed, minimizing risk
Operations Design (AI Ops)
We design post-release evaluation, improvement, and regression testing so the work does not end at delivery and ROI continues to improve
We proceed in four steps, from a free consultation through AI Ops
Free Consultation
Together, we review your challenges and organize an ROI hypothesis, clarifying the direction in an online meeting
Two-to-Four-Week PoC
We document the success criteria and run a small test, confirm the effect with real data, and decide on the next step
Production Implementation
We deliver production-quality implementation, including existing-system integration, permission design, and monitoring design, and release it in stages
AI Ops
We continuously conduct evaluation, improvement, and regression testing, quantitatively monitoring AI accuracy and business impact
We combine management and business partnership with hands-on AI experience to support the path from evaluating adoption options to delivering results.
Work Alongside Management and the Business
We support management decisions and ongoing operational improvements in light of your business goals, expected returns, and organizational context.
Evaluate a Range of AI Adoption Options
Our hands-on use of AI in development and operations lets us compare the impact and cost of tool adoption, system integration, automation, and custom development.
From Selection to Execution and Adoption
We draw on experience in cloud and application development, engineering leadership, and marketing to make the chosen approach work sustainably in daily operations.
In a free consultation, we will work with you from organizing the challenge through designing an ROI hypothesis