Now accepting Q3 2026 engagements

AI that works for your business, not the other way around.

We help companies of any size adopt AI with clarity — strategy, custom tools, automation, and training. No hype. Measurable ROI.

Trusted by teams at
Acme CorpVelocity VenturesMeridian HealthAtlas Logistics
What we do

Six ways we help you win with AI

Every engagement starts with listening. Then we match the right capability to your reality.

AI Strategy & Readiness

We assess your data, processes, and goals to build a practical AI roadmap. No vague promises — just a prioritized plan with clear milestones and ROI projections.

  • Executive alignment workshops
  • Data & infrastructure audit
  • Use-case prioritization matrix
  • Risk & compliance assessment

Custom AI Solutions

End-to-end development of production-grade AI tools tailored to your workflow. LLMs, RAG, agents, computer vision, predictive models — built, tested, and deployed.

  • LLM fine-tuning & RAG systems
  • Multi-agent workflows
  • Computer vision pipelines
  • MLOps & monitoring

Process Automation

Identify and automate high-volume, repeatable work. We connect AI to your existing stack (CRM, ERP, Slack, email) so work flows without human bottlenecks.

  • Document processing & extraction
  • Customer support triage
  • Sales outreach & enrichment
  • Finance & ops workflows

Team Enablement & Training

Your people need to trust and use the tools. We run hands-on workshops, build internal champions, and create documentation so adoption sticks.

  • Role-based AI literacy
  • Prompt engineering workshops
  • Internal champion programs
  • Ongoing office hours

Ongoing Partnership

AI isn't set-and-forget. We stay embedded — monitoring, retraining, expanding use cases, and evolving as your business and the tech change.

  • Model retraining & drift detection
  • Quarterly strategy reviews
  • New use-case discovery
  • Priority support SLA

AI Audit & Governance

Already using AI? We evaluate what you have for security, bias, cost, and performance. Then we harden it or rebuild it right.

  • Security & privacy review
  • Bias & fairness testing
  • Cost optimization
  • Regulatory compliance prep
Our method

Five phases. Zero guesswork.

A repeatable framework that moves you from curiosity to capability — predictably.

01

Discover & Align

We start with your leadership team. Understand goals, constraints, culture, and current tech. Define what success looks like in your terms.

1–2 weeks

Key deliverables

  • Executive alignment memo
  • Current state assessment
  • Success metrics defined
02

Audit & Prioritize

Deep dive into your data, systems, and workflows. Score every AI opportunity by impact, effort, risk, and readiness. Build the roadmap.

2–3 weeks

Key deliverables

  • Opportunity scorecard
  • Prioritized backlog
  • Technical architecture draft
  • ROI models per use case
03

Build & Validate

Rapid prototypes → user testing → production-grade builds. We ship in sprints, measure against your metrics, iterate fast.

4–12 weeks

Key deliverables

  • Working prototypes
  • Production deployments
  • Integration docs
  • Monitoring dashboards
04

Enable & Scale

Train your team, document everything, embed champions. We don't just hand over code — we make sure your people own it.

2–4 weeks

Key deliverables

  • Training workshops
  • Runbooks & docs
  • Champion certification
  • Office hours schedule
05

Govern & Evolve

Quarterly reviews, drift monitoring, retraining, new use cases. As your business grows and AI advances, we evolve with you.

Ongoing

Key deliverables

  • Quarterly strategy reviews
  • Model retraining
  • New use-case pipeline
  • Cost & performance reports
Proof

Real work. Real results.

We measure what matters: time saved, revenue gained, errors eliminated, adoption achieved.

MH

Meridian Health

Healthcare · 2,400 employees

Challenge

Clinical staff spending 15+ hrs/week on documentation. Burnout rising, patient time dropping.

Solution

Custom clinical documentation agent integrated with Epic EHR. Voice-to-structured-notes, auto-coding, compliance checks.

12 hrs/week
Time saved per clinician
94%
Note accuracy vs. manual
$2.1M
Annual capacity value
6 weeks
Pilot to production
AL

Atlas Logistics

Supply Chain · 800 employees

Challenge

Manual freight invoice processing creating 3-day payment delays and 12% error rate.

Solution

Multi-modal document AI (OCR + LLM) extracting 47 fields from varied invoice formats. Auto-matched to POs in NetSuite.

87%
Straight-through processing
2.1 days
Faster payment cycles
$480K
Annual savings
99.2%
Field accuracy
VV

Velocity Ventures

SaaS · 350 employees

Challenge

Sales team drowning in manual research. 60% of day on prep, 40% selling. Pipeline stagnating.

Solution

AI sales intelligence agent: enriches leads, drafts personalized outreach, surfaces intent signals from 15+ sources. Embedded in Salesforce.

3.2x
More qualified meetings
73%
Less prep time
$1.8M
Pipeline generated in Q1
91%
Team adoption
AM

Apex Manufacturing

Industrial · 1,200 employees

Challenge

Unplanned downtime costing $47K/hour. Maintenance reactive, spare parts inventory bloated.

Solution

Predictive maintenance model on vibration/thermal sensor data. Integrated with CMMS for auto work-order generation.

42%
Reduction in unplanned downtime
$3.1M
Annual savings
3 weeks
Lead time on failures
28%
Inventory reduction
The studio

Small team. Deep expertise. No hand-off.

You work directly with the people building your solution. No account managers, no junior handoffs.

SC

Sarah Chen

Founder & CEO

Ex-Google Brain, Stanford CS. Built ML infra for 2B+ users. Obsessed with making AI practical for non-tech companies.

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MW

Marcus Webb

CTO

Ex-Stripe, Meta. Distributed systems & MLOps at scale. Believes the best AI is the kind that disappears into workflows.

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PS

Priya Sharma

Head of AI Strategy

Ex-McKinsey, PhD in Operations Research. Translates business problems into AI roadmaps that boards actually fund.

LinkedIn
JO

James Okonkwo

Lead ML Engineer

Ex-Hugging Face, NVIDIA. Fine-tunes LLMs for niche domains. Open-source contributor. Makes models small, fast, and reliable.

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ER

Elena Rodriguez

Head of Automation

Ex-UiPath, Amazon. Built automation for 500K+ daily transactions. Believes the best code is the code you delete.

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DP

David Park

Head of Client Success

Ex-Salesforce, Palantir. Ensures every engagement delivers measurable ROI. Your advocate inside the studio.

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Want to join us? We're always looking for exceptional people who want to make AI useful.

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Let's talk

Ready to put AI to work?

Tell us about your business. We'll reply within 24 hours with a perspective on where AI fits.

No spam. No sales pressure. Just a conversation.