Operators of AI.
Builders of ventures.

What we did

Pre-implementation workshop to surface the main pain points in the architecture firm’s quality workflow. Defined the vision for a QAQC AI agent working directly against Revit models, providing instant quality assurance against both internal and external rules. The system comprises a Revit MCP layer, connector, agentic layer, a multi-agent work-parallelization system, and a building-codes-and-rules ingestion system.

Outcome

60% reduction in issues in the engineers’ work; 40% decrease in rework cycles.

What we did

Multi-track engagement covering merger due diligence to turn NativelyAI into an integrated ecosystem for AI product development with an ongoing connection to a compute layer; product advisory; and dev-team AI enablement via Claude Code. Defined the AI-builder feature set to reach a competitive state. Onboarded the team to Claude Code, established a PRD-ingestion process, and defined product commercialization with competitive subscription tiers and a referral system. Additional features introduced: multi-agent infrastructure, a document layer for user projects, intelligent context management with file and message summarization, a planning agent, and parallel work with resources.

Outcome

Formation of Native.Compute as the decentralized AI compute layer. Developer velocity increased 8× on average, with top contributors hitting 12×. Commercially viable product launched.

What we did

Delivered the AI acceleration experience for Brinc’s Middle East SDG 3 (health-focused) enterprise adoption program. The engagement spanned three workstreams:

• Workshop design — two stages, from problem-statement discovery and selection through to tech-fit identification and validation of proposed implementation paths.
• AI startups assessment — scored 38 AI ideas against viability, tech readiness, SDG 3 fit, adoption probability, and other criteria.
• Corporate AI playbooks — 70–100 page documents, interactive notebooks, and customGPTs guiding the corporation through gap identification, validation, and enterprise adoption of AI solutions.

Outcome

12 healthcare organizations completed the program; 38 AI ideas evaluated; 10 AI initiatives kicked off as intrapreneurship programs aimed at SDG 3 goals.

What we did

Designed an AI roadmap as a transformation driver, repositioning Timeless Properties as an umbrella brand spanning luxury and wealth-preserving categories.

Outcome

1,000+ new leads generated post-engagement, plus strategic clarity on the company’s growth direction.

What we did

Multi-stage AI enablement program for a publicly-traded company in the KSA food sector. Programs were delivered separately to the CEO, vice presidents, directors, managers, and the IT & Digital Transformation department.

Outcome

AI enablement across the company — opportunity discovery, first AI prototypes, and agent implementations spanning finance, GRC, sales, marketing, operations, agriculture, and HR. The engagement also established a protocol for AI-enabled working groups and an opportunities-identification process using high-level BPMN notation. Prototypes leveraged AILER by ADAIA, n8n, Microsoft Copilot Studio, Microsoft Power Automate, and proprietary platforms.

What we did

Built the first version of the SupportLogic dashboard, aggregating sentiment data from customer-service conversations.

Outcome

First prototype that led to the seed round. The company has raised $62M+ to date.