Selected engagementsFiled 07.2026Anonymized where unsigned

Systems we’ve built.

One methodology: map the operation, build the layer, hand it over, delivered across technology, financial markets, construction, and healthcare.

378prospects mapped in one construction funnel

3,900+outreach sequences run on our own pipeline

2in-house platform products: FlowsLM + DocFlow

5verticals in the engagement library

Figures trace to the studio’s internal milestones ledger. Where a figure is self-reported, the case file says so.

//Selected engagements

File 01Agentic AI · Technology

delivered

End-to-end agentic AI platform, engineered for a founder’s capital raise.

A venture-backed founder needed working software, not slides. We built the full system; it supported a successful raise.

Context

The client, a venture-backed founder, needed a production-grade agentic AI platform ahead of an investor raise: working capability, not a prototype that dies in a demo.

Solution

We engineered the complete system end to end: architecture, models, and the working product, delivered as software that ran.

Outcome

The founder carried a functioning platform into the raise, which closed. The software demonstrated capability rather than concept.

Client anonymized pending written approval. No client-confidential figures published.

File 02AI product · Financial technology

live

A live AI platform delivering daily precious-metals market analysis.

Engineered and launched end to end: an AI product serving traders and investors, in market now.

Context

The engagement called for a consumer-facing AI product delivering daily gold and precious-metals analysis to traders and investors.

Solution

We designed, built, and launched the platform end to end, applying AI to produce consistent, data-driven market insight at scale.

Outcome

The platform is live and in market, serving its user base with daily AI-generated analysis.

Studio-owned product, live in market. Named on request.

File 03Construction & trades

in progress

378-prospect construction funnel: an automated engine recovering 296 lost prospects.

A construction client had more inbound prospects than its team could follow up. We mapped the funnel and built the engine that recovers them.

Context

The client, a Canadian construction firm, was generating prospects faster than its team could respond. Our funnel analysis identified 378 prospects, of which 296 had been lost to unmanaged follow-up.

Solution

We deployed an automated lead-to-close engine on the client’s existing systems: every prospect summarized, statused, and followed up on an automatic cadence. No platform migration required.

Outcome

378¹prospects mapped in the funnel

296¹recovered onto an automatic cadence

Status

The engine is actively recovering the 296. We publish this engagement as exactly what it is: in progress.

1Client anonymized while the engagement is in progress. Prospect counts from our funnel analysis.

File 04Demand generationInternal

delivered

Proprietary outreach infrastructure: thousands of ideal-fit prospects reached.

The studio operates its own demand-generation engine: the same infrastructure we build for clients. Figures self-reported.

Context

Outreach at volume is the same constraint our clients face. Rather than outsource it, the studio built and operates its own demand-generation infrastructure.

Solution

The engine systematically introduces the studio to its ideal customer profile, reaching thousands of ideal-fit prospects across 3,900+ campaign sequences.

Outcome

We deploy for clients only the infrastructure we operate ourselves.

2Internal system. Figures self-reported from internal dashboards. No third-party audit.

File 05Clinics & practices

pre-launch

A custom bilingual clinical platform, in pre-launch for an entrepreneur.

A custom clinical software platform, Arabic and English, built for an entrepreneur entering the healthcare sector.

Context

The engagement is a custom clinical software platform for an entrepreneur entering the healthcare sector, built bilingually in Arabic and English.

Solution

We are building the platform end to end, both languages first-class.

Status

The platform is in pre-launch. Full engagement details publish at launch.

Engagement in pre-launch. Client anonymized; no performance figures published.

File 06AI operating systemInternal

live

Atlas: a custom AI operating system, in daily internal use.

The second-brain capability, dogfooded: a custom AI operating system the studio runs on every day. Figures self-reported.

Context

Atlas is the studio’s own AI operating system: a “second brain” in continuous daily use since inception. It captures, organizes, and compounds the flow of information, decisions, and follow-through behind the studio’s operations.

Solution

We engineered Atlas end to end as a custom operating layer: knowledge capture, priority surfacing, and context that compounds over time. The studio runs on it before recommending the pattern to anyone.

Outcome

55,000+³words of structured, cross-linked knowledge captured

9³disparate systems unified into one queryable view

7³internal automation scripts shipped

In continuous daily use as the studio’s operating layer. The measured impact to date is consolidation and compounding context; time-reclaimed figures are early, self-reported estimates and are not published here.

3Internal system. Counts are the system’s own measured self-audit. Time-reclaimed impact is a self-reported estimate, not instrumented; no third-party audit.

How we publish

Metric in the title. Client anonymized until written sign-off. Internal work labeled internal; in-progress work labeled in progress. Every number on this page traces to the studio’s internal milestones ledger. Where a figure is self-reported, it says so. We name clients only with their written OK. Anonymized-but-specific beats vague-but-named.

//The platform layer

FlowsLM + DocFlow.

Our in-house RAG and document-processing infrastructure. Client systems ship in weeks because they stand on a platform we already built.

FlowsLM is retrieval over your documents with compliance flagging built in: answers graded red, yellow, or green. DocFlow moves documents from ingest to classification to extraction, with a human in the loop, through to the ERP.

For organizations with strict data rules, the same platform deploys fully self-hosted on your own infrastructure. Nothing touches a third-party cloud.

The platform is not a product for sale. It is what your system stands on.

Built and maintained in-house.

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