AI TRANSFORMATION From assessment to production AI in 90 days.

Your team. AI-native.
In 90 days.

We map your workflows, quantify the waste, and build production-grade AI systems that transform how your company operates.

Limited intake: We work with a small number of companies at a time to ensure quality. Current cohort forming now.
No commitment required Senior practitioners only ROI quantified on Day 1 Production, not pilots
DeloitteBCGGoogleOpenAIAWSBattery VenturesDatabricksGE VernovaSchneider ElectricKumo.aiOneReach.aiOfColor
DeloitteBCGGoogleOpenAIAWSBattery VenturesDatabricksGE VernovaSchneider ElectricKumo.aiOneReach.aiOfColor

AI-native startups are building
faster, cheaper, smaller.

The capability gap widens every quarter. The question isn't whether to transform — it's whether you'll move fast enough to matter.

What's happening to your company right now

$800K–$1.5M in annual operational waste — admin, manual routing, data re-entry, status updates that eat 30–40% of your team's hours

Competitors moving 3–10× faster — AI-native startups are shipping features with teams a fraction of your size

Talent expensive, scattered, and slow — you keep hiring to solve systems problems, spending $120K per head on work automation can handle

Suppressed exit multiple — PE and growth investors apply a 30–40% discount to companies without AI-native operations

What your company looks like after transformation

50–80% of manual work eliminated — your team stops doing repetitive tasks and starts doing the work only humans can do

2–3× output per employee — same headcount, dramatically more throughput. Scale without adding headcount

Production AI in 90 days — live systems your team built and owns, not a slideshow roadmap

Valuation multiple expansion — AI-native operations shift your EBITDA multiple from 4–6× to 8–12×. The math changes

The math that closes
deals on the call.

$1M+
Annual operational waste in a 100-person company where 30% of time is manual
Before SynapseAI identifies and eliminates it in the Assessment
Average first-year ROI. Implementation cost is typically 15–20% of the annual waste we eliminate
Calculated from your own numbers during the Discovery Call
90
Days from signed SOW to production AI system running in your environment
Built by your team, with our experts embedded alongside

What the transformation
actually looks like.

Before SynapseAI
Operational cost $800K–$1.5M/yr in manual work Bleeding
Team capacity 30–40% time on repetitive tasks Wasted
Cycle time 3–10× slower than AI-native rivals Falling behind
Valuation 3–5× EBITDA (no AI discount) Suppressed
Scaling $120K per headcount added Expensive
90 days
After SynapseAI
Operational cost $400K–$800K recovered annually +Recovered
Team capacity 2–3× output per employee +Multiplied
Cycle time 5–10× compression on core workflows +Faster
Valuation 7–12× EBITDA (AI-native premium) +Expanded
Scaling Scale with automation, not headcount +Leveraged

From assessment to production
in a single sprint.

01
Discovery Call
30 minutes. We map your workflows, identify the highest-cost bottlenecks, and quantify annual waste using your own numbers.
⏱ No commitment required
02
AI Readiness Assessment
Comprehensive evaluation across 6 pillars: Data, Technology, People, Process, Product, and Revenue. Delivers a prioritized transformation roadmap with ROI estimates.
⏱ Entry point engagement
03
Team Enablement
Hands-on training in production AI patterns — agentic systems, RAG, evaluation frameworks — delivered by practitioners who've shipped at Google, AWS, and OpenAI.
⏱ Cohort-based program
04
Embedded Build Sprint
Our engineers work directly alongside your team to build 1–2 production-ready AI systems. Your team learns by doing. You own everything built.
⏱ Target: production AI in 90 days
05
Ongoing Advisory
Senior advisor access, architecture reviews, quarterly planning, and continued roadmap support. Cancel anytime.
⏱ Monthly retainer
"The goal is capability building, not dependency. After we leave, your team can build the next system independently."
SynapseAI Core Principle

What we build, train,
and deploy.

Tier 1 · Foundation
AI Readiness Assessment
  • 6-pillar evaluation: Data, Tech, People, Process, Product, Revenue
  • 3–4 stakeholder interviews (CEO, CTO, COO, engineering leads)
  • Prioritized use cases with ROI estimates (quick wins + strategic)
  • Technology roadmap with specific modernization recommendations
  • Sequenced transformation plan with timelines and resource requirements
  • Full assessment investment credited toward any subsequent engagement
Tier 2 · Enablement
Super Builder Training
  • Agentic architectures, LLM development, GenAI production patterns
  • Evaluation frameworks, RAG, Model Context Protocol
  • Multi-agent coordination, fine-tuning vs. RAG tradeoffs
  • Hands-on capstone: build agentic search system in 3 iterations
  • Delivered by applied scientists who've shipped production AI at Google, AWS, and OpenAI
Tier 2 · Enablement
Super User Training
  • AI adoption for operations, product, sales, and leadership teams
  • Workflow redesign, use case identification, and prompt engineering
  • Tool selection and practical application to daily work
  • No coding required — built for business teams
  • Live sessions with async exercises and real company challenges
Tier 3 · Development
10-Week Build Sprint
  • Dedicated embedded engineering team alongside your developers
  • Use case discovery, scoping, and full technical design documents
  • 1–2 production-ready GenAI applications delivered
  • MLOps, CI/CD, evaluation harness, and observability stack
  • Documentation, runbooks, and full knowledge transfer
  • Your team can build the next system independently after handoff
Tier 4 · Ongoing
Strategic Advisory
  • Weekly office hours with senior advisor
  • Architecture reviews and roadmap planning support
  • Monthly hands-on technical deep-dives (Premium)
  • Quarterly strategic planning sessions (on-site available)
  • Priority access for troubleshooting and urgent questions
  • Ongoing engagement — cancel with reasonable notice

Practitioners who've shipped
at enterprise scale.

We are not consultants who advise on AI. We are the people who built and shipped production AI at the world's leading companies — and now do it for yours.

Strategy Lead
Founded Deloitte's Global AI Practice
Managing Partner, OneReach.ai
MBA, Oxford Saïd Business School
Lecturer, Oxford Saïd
Innovation Lead
Venture Architect, BCG
Investment, Battery Ventures
Generative AI Strategist, AWS
BBA Quantitative Finance, UT McCombs
Engineering Lead
Member of Technical Staff, OpenAI
Engineer, Google & Databricks
Founding Engineer, Kumo.ai (Forbes AI 50)
MS, Carnegie Mellon · BTech, IIT Madras
Data Science Lead
Applied Science Tech Lead, 9+ yrs ML
35+ papers: NeurIPS, AAAI, CVPR
Lecturer, MIT & Oxford
TEDx speaker · 95K+ global AI following

Verdant: From manual chaos
to AI-native in 90 days.

"We were drowning in manual reporting and our CS team spent weeks every quarter pulling data that should have been automatic. SynapseAI found the root cause in day one and had production systems running before we expected."

Verdant Analytics — Commercial real estate data and sustainability platform. Series B, 180 employees.

Assessment Identified
Customer intelligence platform to eliminate manual account research cycle
Automated reporting pipeline replacing 40+ hours of manual quarterly work
Data transparency layer reducing support ticket volume and churn risk
AI Readiness Score (pre-engagement) 2.4 / 5.0
Churn attributed to data/ops issues 68%
Manual reporting hours eliminated ~40 hrs/quarter
Customer insight turnaround (pre-AI) Days of manual work
High-ROI use cases identified 5 prioritized
Assessment investment credited 100% to build

What teams say after
90 days with us.

Average first-year ROI across engagements
73%
Average reduction in manual operational work
100%
Of clients own their systems outright — no vendor lock-in
90
Days to production AI — our target for every engagement

Everything you need
to decide.

We are practitioners, not advisors. Our team built and shipped production AI at Google, OpenAI, Databricks, AWS, Deloitte, and BCG. We don't tell you what to build — we build it with you, alongside your team, so they own it and can continue without us. Our focus is production systems, not pilots or endless roadmaps.
The Assessment is the single most important step. The number one reason AI projects fail is that someone started building before they understood the full workflow. Skipping it means building the wrong thing. Every project we've seen fail started here. The Assessment investment is credited in full toward any subsequent engagement.
Assessment requires a small number of leadership hours — one kickoff session plus one or two follow-up interviews — and a technical walkthrough with your engineering team. The Build Sprint requires more active participation — your team works alongside ours so they learn by doing. This is intentional: the output is both a production system and a capable internal team.
You own 100% of everything built — all code, models, systems, and documentation. SynapseAI retains ownership of our methodologies and frameworks, but grants you a perpetual, royalty-free license to use any of our IP incorporated into your deliverables. There are no vendor lock-in provisions, no ongoing platform fees, and no dependency on us to keep the lights on.
Our deepest expertise is in commercial real estate, energy and climate tech, financial services, and professional services SaaS. We've deployed production AI at GE Vernova, Schneider Electric, and across growth-stage software companies. Our team's backgrounds span sustainability data platforms, enterprise workflow automation, and capital markets — so we come with domain context, not just AI tooling knowledge.

Ready to see
what AI can do for you?

Tell us about your company. We review every application personally and respond within 1–2 business days to explore whether we're a fit.