Twentyideas

• Mission: Creating human-centered, AI-amplified digital products for health, learning, and more.
• Vision: A future shaped by problem-solvers and empowered by technology innovation.

Founded in 2014, Twenty Ideas brings together digital product design expertise, AI solution development, healthcare and wellness technology experience, and learning and education expertise.

How the team works

Twenty Ideas is a US-based, fully integrated team that works in sync with clients. Its core values are:

• Start with respect: Build relationships through mutual trust, kindness, honesty, and positivity.
• Strive for simplicity: Bring purpose to the digital world through both the work delivered and how it is made.
• Be a force for good: Use deep research, responsible AI implementation, and rigorous security protocols to maximize positive outcomes and minimize risk.

The company says it has trained, architected, and implemented artificial intelligence and machine learning systems from its earliest days. Its development process combines AI DevOps, MLOps, and monitoring tools with human-directed implementation flows.

0 to MVP

The 0 to MVP package turns an idea into a lean digital product with the core functionality needed to demonstrate value, build a user base, and assess future priorities.

Product evolution

Twenty Ideas transforms existing digital products to support changing organizational needs and future goals.

Proof of concept

The team validates and visualizes product ideas against real-world criteria for investor pitches, helping minimize risk and improve clarity.

Business optimization

AI Coding Training

The HiVE Shift curriculum and hands-on training help development teams adopt AI-powered development practices, work smarter, build faster, and ship with confidence.

AI Implementation

Twenty Ideas creates customized AI adoption plans and integrates AI into an organization's systems and processes from end to end.

Reported capabilities

The agency highlights experience across healthcare, finance, and enterprise software. It uses agile methods and AI-powered development tools, provides ongoing partnership after launch, and reports more than 50 AI implementations with measurable business impact and ROI.

Offices

• 1111 SE 12th Ave, Portland, OR 97214
• 590 Pearl St. Suite #212, Eugene, OR 97401

The website also provides a contact form and offers a free AI consultation for organizations exploring AI implementation.

Lists Pearl, Mission, Enterprise, Eugene, and Portland as a location. Names United States as a service area. Areas beyond these are not published.

Process

Step 1: Discovery — weeks 1–2

• Map the organization's structured and unstructured data landscape.
• Review infrastructure, APIs, data silos, security, and access controls.

Step 2: Evaluation — weeks 3–4

• Identify AI opportunities, quick wins, and hidden value in existing data.
• Assess risks and challenges in current systems that could affect AI adoption.

Step 3: Action plan and integration — weeks 5–6+

• Design an AI architecture plan for a secure, AI-ready system.
• Evaluate in-house versus partner development strategies and relevant tools.
• Implement the customized plan by integrating AI into organizational systems and processes.
• Reinforce team trust and confidence during adoption.

Twenty Ideas states that it has more than a decade of AI experience and has shipped production-grade AI tools and systems since 2023. Its stated technology experience includes LangChain, Pinecone, OpenAI, Neo4j, machine learning, MCP integrations, DevOps automation, and monitoring systems.

Included components

• Live clinics: Weekly sessions using real repositories, pull requests, tickets, and constraints.
• Curriculum: A structured 12-week progression for developing an AI-first mentality.
• Swarm Labs: Longer working sessions to practice Hive Coding on meaningful backlog work.
• Support: Async Q&A and unblockers, including dedicated Slack support.
• Playbooks and templates: Patterns for pull-request review, automated QA, prompt design, and swarm workflows.
• DevSwarm Enterprise access: Included during the engagement to demonstrate repeatable workflows and parallel, branch-isolated delivery.

Hive Coding emphasizes human decision-making, reviewable diffs, reproducible and traceable runs, and speed without lowering standards. The program uses guardrails, tests, review rubrics, and verification requirements to reduce AI slop and "vibe debt."

Three phases

• Weeks 1–2 — Baseline and standards: Establish the current AI-use baseline, quality bottlenecks, guardrails, definition of done, pull-request norms, and review rules.
• Weeks 3–6 — Core Hive workflows: Develop prompting patterns, parallel exploration practices, automated pull-request hygiene, and a shared prompt and pattern library.
• Weeks 7–12 — Operationalize: Implement automated QA, AI-assisted pull-request review, onboarding materials, metrics, and a continuing cadence.

Best fit

The program is designed for teams of 3–15 developers shipping production software, seeking faster delivery without accumulating vibe debt, and wanting measurable workflow change. It is not intended as a one-off training talk or for teams unwilling to change pull-request, review, or testing norms.

Teams typically commit to two live sessions each week plus lightweight adoption during normal pull-request work. After three months, teams receive a documented playbook, shared prompt and pattern library, updated pull-request and QA workflows, and an operating cadence for continued improvement.

Four phases

1. Product planning

• Clarify stakeholder vision and brainstorm solution features.
• Conduct competitive, stakeholder, and user research.
• Develop user personas and journey maps.
• Prioritize features and core user flows.
• Deliver a product requirements document with time and cost estimates.

2. UX/UI design

• Create wireframes for prioritized user flows.
• Develop or apply brand styling and implementation-ready designs.
• Refine designs through stakeholder feedback and usability testing.

3. Technical development

• Create an implementation work plan through design-development handoff.
• Build through Agile development sprint cycles.
• Conduct usability and quality assurance testing.

4. MVP launch

• Align release timing and procedures with the go-to-market plan.
• Support app store submission and/or web release with appropriate copy or assets.
• Implement custom product analytics for ongoing performance tracking.

Product, design, and development teams work collaboratively from the beginning as one team and one source of truth. This approach is intended to address uncertainty and mistaken assumptions early, while maintaining speed, efficiency, and fidelity to the product vision.

Example projects

• PHC Global: An AI-enhanced bio-risk response platform that helped attract a $35 million Series A raise.
• XPRIZE Foundation: A custom platform for a $7 million contest promoting universal literacy.
• Better Breastfeeding: A responsive coaching platform delivering breastfeeding guidance to millions of parents.