US · Forward-deployed · Globally staffedTwo practices · One delivery system

The AI engineering team that thinks like founders and builds like experts.

We build like we own the company. Senior talent. Direct access. Multi-quarter depth.

Book a 30-min strategy call See recent deployments

200+

Senior engineers on the bench

3+ yrs

Avg client Tenure

Named partner

On every account

Active partnership ecosystem

Trusted by operators across Enterprise, PE, and the founders building what's next.

Arose AI

Mirage

LeadMaxi

Next Generation Closers

Arose AI

Mirage

LeadMaxi

Next Generation Closers

How we work

We think differently.

Big shops throw juniors fresh out of college at your hardest problems. We staff senior engineers, on real systems, working with you intimately.

01

We tell you what we're not.

We say no if we're not the right fit. That's how you know our yes means something.

02

Intent before velocity.

Cursor and Claude Code made every engineer 4× faster. The advantage now is choosing what to build. We focus on what NOT to build, to avoid accelerating broken systems.

03

Senior people, forward deployed.

We live in your stack, your standups, and your Slack from kickoff through production.

04

Validate fast.

Big shops spend six months on a design phase before line one of code. We ship like an internal startup.

05

Workflow first, model second.

We map the workflow before picking the model. 95% of enterprise GenAI deployments produce zero P&L impact (MIT NANDA, 2025). The failure is rarely the model. It's the missing workflow.

Ask any firm what they will not accelerate. We answer in the first meeting.

What we deliver

Two practices, one delivery model.

Same senior bench. Same operational standard. Different commercial shape — depending on whether you need outcomes or capacity.

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01 — AI Transformation

Done-for-you AI, shipped to production.

We diagnose the operational bottleneck, design the model + workflow architecture, and embed the system into your existing tools — without a 12-month integration sprawl.

Pilot → production · weekly evals

0.0% eval acc.

▲ 18.4 pts since wk1

AI strategy & opportunity audit (2-week sprint)
RAG, agentic workflows, custom model fine-tuning
Production deployment + SLA monitoring
White-label engagement for consulting partners

Scope an AI engagement

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02 — Embedded Engineering

Senior engineers, embedded in your stack.

Staff augmentation and project pods staffed by engineers with 7+ year median tenure. They write to your standards, attend your standups, and ship in week one — not month three.

Engineers stay for years, not sprints. Ours average 3+ years per engagement, more than double the industry norm, and we have never lost a staff aug client that was still in business. Drawn from a 200+ senior engineer bench.

5 days

to MSA signed

3+ yrs

avg client engagement

94%

staff aug retention

Fractional CTOs, senior engineers, ML/MLOps, computer vision, AI/agentic engineers, data engineering
Project-based product builds (web, mobile, platform)
PE technical due-diligence + post-acquisition uplift
Engagement minimum: 3 months

Request engineer profiles

Operational console

What it actually looks like, mid-engagement.

Four real engagement archetypes. Synthetic logs — same shape as the artifacts you'd receive in a weekly status pack.

Retrieval pipeline ingesting client knowledge base.

fig.rag

RAG pipeline

Headline metric94.2%Eval accuracy

CadenceWeeklyStatus + artifacts

OwnerPartnerDirect line, no proxy

Selected case studies · 2024–2026

Deployments, not deliverables.

Six engagements · 2024–2026

01 / 06

Case · 01

Tier-1 Global Bank

Fintech

Challenge — Tier-1 bank losing $40M/yr to 3-day credit risk turnaround

Outcome — Agentic AI swarm cut analysis from 3 days to 30 seconds

99%

Faster credit risk analysis

Read case →

Case · 02

National Retail Chain

Retail

Challenge — 500-store retailer losing $15M/yr to overnight batch sync phantom inventory

Outcome — Sub-second real-time inventory drove 2× sales lift YoY

Global Auto Manufacturer

Manufacturing

Challenge — Global automaker losing $50M/yr to unplanned equipment failures across 12 plants

Outcome — Edge AI predictive maintenance saves $12M annually across 4 continents

National Logistics Company

Logistics

Challenge — 5,000-vehicle fleet wasting 20% of $120M fuel budget on suboptimal routing

Outcome — Dynamic AI routing saves $18M/yr in fuel, lifts fleet utilization to 82%

Dishio (formerly Dineline)

Foodtech

Challenge — 3+ years building mobile, web, and data infra for a restaurant growth platform

Outcome — Scaled platform to 1,500+ restaurant locations across North America

Anonymized News Client

Consumer

Challenge — High-growth news platform needed iOS + Android built to handle viral-scale traffic

Outcome — Reached Top 3 in App Store News category

#3

App Store News

Read case →

Built for how you actually buy

Same delivery system. Three commercial conversations.

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For private equity

Portfolio-wide AI uplift, with diligence-grade reporting.

We embed across portfolio companies on a master agreement — measurable EBITDA impact, board-ready reporting, and post-close technical lift in weeks not quarters.

Master MSA across portcos
Quarterly board pack output
Tech DD for active deals

PE engagement model

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For mid-market operators

AI with ROI, not buzzwords.

If you want AI that transforms your company and not just a slideshow, we'll diagnose your highest-leverage opportunity and ship working software fast. You keep operating. We handle the wiring. Same delivery rigor we ran inside Accenture, without the partner-leverage pyramid.

No technical jargon
Fixed-fee pilot option
Direct line to a partner

Schedule a discovery call

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For enterprise IT

Senior engineers, forward deployed.

Augment in-flight programs with engineers vetted for your specific architecture — not warm bodies. SOC 2-aware, contract terms your procurement team has already seen.

MSA-ready in 5 business days
Time-zone aligned with your team
Roll-on / roll-off on demand

200+

Senior engineers available to staff

Brief our staffing lead

For consulting firms

Your brand. Our build.

We white-label the entire AI transformation practice for boutique consultancies and advisory firms — so you can offer implementation-grade AI without standing up an engineering org.

Delivery model

Status report header preview

YF

Your Firm · Q4 AI Initiative

delivery powered by Bolt

Toggle to compare how the artifact lands with your client.

Co-branded or fully invisible delivery
Partner-only revenue share + protected territories
Sales enablement: pitch decks, ROI models, NDAs
Named delivery lead assigned per engagement

Request partner terms

Engagement timeline

Wk 0
Partner kickoff
Joint scoping with your client. NDA + DPA signed; delivery lead assigned.
Wk 1–2
Discovery sprint
Operational diagnostic, opportunity map, ROI model under your branding.
Wk 3–6
Build & integrate
Production AI deployment in your client's stack. You stay in primary contact.
Wk 7+
Operate & expand
SLA monitoring, retraining cycle, optional retainer. You bill, we deliver.

Insights

Field notes from the implementation layer.

Updated quarterly

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Pillar · AI Implementation

AI Implementation Partner

How PE firms should evaluate an AI implementation partner
The 6-week pilot framework: from opportunity to production
RAG vs. fine-tuning: when each one earns its keep

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Pillar · Embedded Teams

Embedded Software Development

Staff augmentation vs. fractional teams: a decision matrix
What 'senior' actually means on an embedded engineering pod
Onboarding embedded engineers without slowing your team

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Pillar · White-Label Services

White-Label AI Services

Adding AI to a consulting practice without hiring engineers
Pricing white-label AI engagements (with margin worked out)
Co-branded vs. invisible delivery: choosing the right model

Start a conversation

Two ways in. Both lead to a partner.

No SDR queue. No discovery deck. Either book a 30-minute working session, or send a note and we'll reply within four business hours.

01 — Synchronous

Book a 30-min
strategy call.

Book a slot directly with a partner. Bring one operational bottleneck — leave with a sketch of how to ship against it in six weeks.

  ◆
 ╱│╲
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  ●

02 — Asynchronous

Or send a note.
We reply in hours.

What happens next

Every note is read by a partner. Replies land within four business hours. No SDR queue, no discovery deck, no sales pitch — just a direct response from the team.

The AI engineering team that thinks like founders and builds like experts.

Trusted by operators across Enterprise, PE, and the founders building what's next.

We think differently.

We tell you what we're not.

Intent before velocity.

Senior people, forward deployed.

Validate fast.

Workflow first, model second.

Two practices, one delivery model.

Done-for-you AI, shipped to production.

Senior engineers, embedded in your stack.

What it actually looks like, mid-engagement.

Deployments, not deliverables.

Tier-1 Global Bank

National Retail Chain

Global Auto Manufacturer

National Logistics Company

Dishio (formerly Dineline)

Anonymized News Client

Same delivery system. Three commercial conversations.

Portfolio-wide AI uplift, with diligence-grade reporting.

AI with ROI, not buzzwords.

Senior engineers, forward deployed.

Your brand. Our build.

Field notes from the implementation layer.

AI Implementation Partner

Embedded Software Development

White-Label AI Services

Two ways in. Both lead to a partner.

Book a 30-minstrategy call.

Or send a note.We reply in hours.

Book a 30-min
strategy call.

Or send a note.
We reply in hours.