Emerge

• Andy Walters, CEO and AI Principal: Commercializing LLMs and building production-ready RAG systems.
• Scott Lowenstein, Chief of Staff: Engineering and business strategy focused on high-value ROI AI and automation use cases.
• Aurora Quinn-Elmore, VP of AI Transformation: AI discovery, prototyping, and adoption.
• Greg Wallis, Chief Financial Officer: Finance, accounting, and marketing experience.
• Jill Blandford, Chief Brand Officer: Creative leadership and conversational AI product innovation.
• Will Sukonik, AI Product Engineer: Product leadership and business strategy.
• Joe LeBlanc, Software Engineering Lead: Full-stack engineering and technical management.
• John Heslop, AI Engineer.
• Kamdyn Shaeffer: LLMs and data engineering.
• Levi Stringer: Mathematics and computer engineering, with AI project experience in healthcare, aviation, and content recommendations.
• Manuel Gozzi: AI software development, robotics, and electronics.
• Pranav Narahari: Full-stack engineering and practical AI solutions.
• Sonnet Walters, Accounts Payable Specialist.

Contact

People interested in building with AI can contact Emerge Haus through its website form by providing a first name, last name, email, company, phone, and message.

1. Playbook: Develop an AI thesis and playbook for competing in an AI-native world.
2. Pilot: Run a 45-day proof of value, putting one high-impact agent into production.
3. Scale: Add additional agents and continuously update the playbook to compound ROI.

AI Agent Platform

The self-hosted Lumina platform unifies customer and employee experiences with back-office workflows. It includes:

• Cutting-edge AI agents integrated with people, processes, and systems.
• Support for proprietary knowledge from sources such as Drive, SharePoint, and APIs.
• Self-hosting within a client's compliance perimeter, with evaluations and guardrails.

Commercial details

A deposit of $25,000 is required. Embedded Flywheel teams start at $49,000 per month. Emerge Haus states that 91% of clients meet or exceed their ROI targets within 12 months, with $14.65 million in cumulative first-year 2025 OpEx savings.

• Intelligence Agents: Discover and organize hidden insights in company data to support sharper strategic decisions.
• Customer and Employee Agents: Provide 24/7 omnichannel concierge experiences and can deflect 50% or more of routine inquiries.
• Workflow Agents: Automate complex business processes and can improve operational efficiency by 30% or more.

Emerge Haus describes its agents as best-in-class solutions designed to reduce costs, grow topline revenue, and integrate with people, processes, and systems.

• AI Engineering: Scalable RAG pipelines, including ingestion, hyperparameter tuning, evaluations, and observability; fine-tuning of proprietary and open-source models.
• Full-stack web development: Next.js frontend and backend development, plus secure, high-performance architectures integrated with AI backends.
• Machine learning: Predictive analytics, IoT and telemetry classification, sensor-data analysis, and real-time insights.
• Consulting: Workshops and a proven framework for finding high-ROI generative AI use cases.
• Advanced AI agents: Design and deployment of autonomous agents for complex task automation and decision-making.
• Voice and conversational AI: Interactive, voice-enabled solutions for human-like interactions.
• Traditional software engineering: Python development and API integration and development.
• Training: AI coding workflow training for engineers, plus productivity training for knowledge workers using Copilot and other AI tools.

Emerge Haus organizes its work around three problems: finding what to build with AI, building production-grade systems, and preparing teams to lead with AI.

Listed positions include:

• Project Manager — Canada or United States-based, remote, contract, mid-level.
• Marketing and Publicist Lead — full-time contract.
• AI Engineer.

AI Atlas

AI Atlas provides micro-industry reports, trends, and articles about generative AI. Its Q2 2025 report, *The State of the Generative AI Revolution*, covers the mainstreaming of generative AI, enterprise adoption, emerging capabilities, and pathways for mid-market and enterprise leaders. It also discusses OpenAI's five-level AGI maturity model.

Other listed topics include generative UI, robotics and AI, test-time compute, reinforcement learning, and long context windows. Readers can request a tailored AI Atlas analysis or report for their company.

Work takes place inside the client's VPC and developer environments with role-based guardrails, audit logs, and encryption at rest and in transit. Prompts, embeddings, and fine-tuned weights remain in the client's cloud tenancy and are not sent to external servers. Emerge Haus also cites NDAs and IP-assignment clauses in its MSA.

Implementation and ownership

Agents integrate through APIs and event streams, leaving core systems untouched. Lumina abstracts the underlying large language model, allowing models to be replaced after they pass Evaluation Studio benchmarks. Clients receive source-code access and a perpetual enterprise license. Emerge Haus can remain available on retainer for ongoing optimization and enhancements.

Quick wins typically arrive within 60 days of the first production agent, including examples such as 30–50% ticket deflection and 20% cycle-time reductions. Full payback of the initial engagement usually arrives within two fiscal quarters.