Strategic PartnershipProposal for Daniel Shapiro.
A bespoke outbound engine engineered to convert precise market signals into a predictable pipeline of qualified meetings.
Marketing
The Situation,
as it stands.
Current State
- 01Provide custom AI consulting and deep R&D services, traditionally operating in Canadian aerospace and defense.
- 02Generated $2.6M USD in 2025-2026 and $3.8M USD in 2024-2025, with a solid average client value of $188,000.
- 03Seeking expansion into US-based, non-defense commercial markets like industrials, manufacturing, and healthcare tech.
The Problem
what's holding growth back.
- —Previous outbound marketing failed completely, yielding zero deals and poor open rates between 2% and 10%.
- —Spent $270,000 on a networking-focused sales team over 34 person-months with no attributable revenue.
- —Wasted an additional $30,000 to $40,000 on internal cold email experiments that failed to book meetings.
The
Diagnosis.
Three convictions about how to close the gap.
- FIX 01Lacks the specialized domains, inbox warmups, and tech stack needed to successfully land in cold commercial inboxes.
- FIX 02Sales messaging lacks precise target-positioning for US industrial buyers and relies too much on general networking.
- FIX 03Needs a structured, highly compliant, and honest outbound engine that skips generic hype to build technical trust.
Why standard agencies consistently fail.
Four traps. Four corrections — engineered against each one.
Bad targeting.
Relying on basic filters and overused contact lists.
Deep data enrichment. We append data points and signals to score leads and isolate true decision-makers.
Wrong timing.
Reaching out blindly without knowing if the prospect is actually in the market.
Intent monitoring. We track hiring trends, tech deployments, and funding events to time outreach perfectly.
Weak messaging.
Sending generic, "me-centric" pitches that sound like everyone else.
Offer-led copy. Multi-variant campaigns focused strictly on the prospect's pain points and your unique mechanism.
Activity over outcomes.
Paying agencies for sending emails or making calls, regardless of lead quality.
Aligned incentives. We focus on qualified appointments and operate on a performance / rev-share model — we only win when you close.
The engine, stage by stage.
Ten stages that turn the full addressable market into a predictable flow of qualified leads.
A partnership, not a vendor relationship.
You own the infrastructure. We bring the system that runs on top of it.
Infrastructure & IP
Yours to keep, day one.
- Shadow domainsDedicated domains to protect your primary brand.
- Massive infrastructureScaled inboxes for consistent delivery.
- Enriched contactsVerified lead lists with deep source data.
- CRM (optional)Centralized data management.
- Automation platformsAutomated messaging via Instantly and HeyReach.
- AI sales toolsPremium tool stack running your operations — without you paying for them.
Setup, expertise & ops
Our risk, not yours.
Who we hunt, and why.
The market we are going after — defined with precision, not generality.
| Industry | Employees | Revenue | Rationale |
|---|---|---|---|
| Industrials & Manufacturing | 500 - 5000 | $100M - $1B | US industrial firms have complex operations and huge data stores, making them ideal candidates for custom AI R&D integrations. |
| Regulated Technology & Medical Devices | 100 - 1000 | $50M - $500M | Medical device firms must navigate tight regulatory controls, which directly aligns with Lame AI's defense-grade compliance experience. |
| Title / Role | Seniority | Primary Pain Point |
|---|---|---|
| Chief Technology Officer | C-Level | Lacks the highly specialized in-house machine learning and R&D talent required to build proprietary AI systems. |
| VP of Engineering | Executive | Struggles to safely integrate complex, predictive AI models into highly regulated legacy systems without risking system downtime. |
We talk to a buyer, not a list.
Each persona is mapped to a desire, an objection, and the hook that earns the meeting.
Pragmatic CTO Peter
Chief Technology Officer
Build secure, custom AI IP to create a lasting competitive advantage.
Skeptical of sales agencies that overpromise simple AI wraps instead of delivering real engineering.
"We do not overpromise. We build defense-grade AI systems for complex industrial operations."
Cautious VP Carla
VP of Engineering
Deploy smart, compliant predictive tools into factory legacy systems safely.
Worried about security breaches, regulatory failures, and operational disruptions from unstable software.
"Deploy secure, compliant machine learning backed by deep, aerospace-tested R&D standards."
| # | Dimension | Signal Evaluated | Score |
|---|---|---|---|
| 01 | Filters for technical leaders like CTOs and VPs of Engineering who actually hold the authority to sign six-figure R&D contracts. | Individual's job title | 30pts |
| 02 | Identifies US commercial tech firms with the budget to immediately fund outsource-heavy engineering and custom AI programs. | Funding round stage | 40pts |
| 03 | Spots companies actively researching machine learning, industrial automation, or R&D topics, signalling active demand. | level_of_intent | 30pts |
| — | Targeting Priority | Must exceed 60 pts for Tier 1 outbound | 100total |
Each campaign earns its place.
Trigger. Execution. Hook. Three plays — engineered for Daniel Shapiro's market.
Technical Peer Outreach
Individual's job title
Filter for CTOs at target industrial companies. Send a direct, peer-to-peer technical email outlining Lame AI's real engineering background and offering a brief tech call.
"We do not sell generic wrappers. We design defense-grade AI systems for complex industrial hardware."
Funded R&D Accelerator
Funding round stage
Monitor companies that recently closed a new funding stage. Email their VPs of Engineering to offer our immediate, external AI R&D support.
"Skip the hiring delay. Scale your technical product roadmap this month with our pre-built, compliance-first AI engineering team."
High-Intent Solution Match
level_of_intent
Identify firms actively researching custom machine learning on Bombora. Send a short case study showing how we deploy compliant models without legacy system downtime.
"We saw your team is exploring custom machine learning. Here is how we build secure, compliant AI systems without disrupting existing workflows."
Receipts, not promises.
Live engagements from our portfolio. Tap any frame to enlarge.
The team actually on your account.
A dedicated team. Named, accountable, embedded.
Kunal Mahajan
Leads GCM with over 20 years of marketing and advertising experience. He is actively engaged day-to-day overseeing client relationships and service delivery. He has successfully built and exited multiple companies, bringing elite go-to-market experience from Google, Amazon, Uber, and Microsoft.
Josh Blanchard
A full-cycle sales and outbound operations expert specializing in hyper-targeted ICP acquisition to consistently secure qualified leads and maximize calendar capacity. He has helped businesses generate and collect multiple seven-figure revenues by managing the entire sales lifecycle from engineered cold outreach to closed-won revenue turning pipeline activity into predictable, scalable business growth.
Spiros Kakos
Engineers high-performance revenue systems and leads go-to-market strategies for B2B lead generation. Drawing on over eight years of commercial leadership at companies like Revolut and Airevest, he specializes in scaling outbound motions and structuring predictable sales playbooks. Backed by his ongoing PhD research in performance coaching, Spiros builds resilient, data-driven teams designed to turn aggressive targets into sustainable growth.
Jan Salvador
Oversees day-to-day execution, ensuring the campaign infrastructures run smoothly and efficiently.
Tyler Serota
Specializes in integrating artificial intelligence into the outbound infrastructure, optimizing messaging, targeting, and campaign workflows.
Cris Aerco
Manages the technical backbone of the hybrid outbound systems (Email + LinkedIn), ensuring deliverability and seamless tech stack integrations.
Jasmine
Owns the client relationship and strategic direction post-close, ensuring clients successfully onboard, understand their data, and see continuous ROI.
Ten
Handles the daily management and optimization of active campaigns to ensure high-quality, qualified leads are consistently booked.
From zero to predictable, in three months.
Four milestones. No theatrics. Each one earns the next.
Infrastructure & Copy
Domains purchased, DNS setup, mailboxes warming. Audiences built, angles finalized.
Launch & Calibration
First signals intercepted, initial emails deployed. A/B testing subject lines.
Volume & Optimization
Accounts fully warm. Scaling up daily volume. Lead gen becomes consistent.
Stable, Predictable Channel
Predictable, dialed-in system. Scaling into new verticals and testing new offers.
The math, uncomfortably clear.
From total addressable market to closed deal — every assumption shown.
Based on the Industrials & Manufacturing sector and your core offering, there is a massive addressable market of relevant companies seeking predictable growth solutions.
Move the dials. Watch your pipeline change.
| Month | Contacts | Closes | Pipeline |
|---|---|---|---|
| M1 | 1,721,750 | 558 | $104,904,000 |
| M2 | 1,721,750 | 744 | $139,872,000 |
| M3 | 1,721,750 | 930 | $174,840,000 |
| M4 | 1,721,750 | 930 | $174,840,000 |
| M5 | 1,721,750 | 930 | $174,840,000 |
Pick your velocity.
Three packages. Same operating system. Different fuel.
Growth
Built for companies with a growth mindset looking to scale lead generation.
Includes infrastructure + operations at cost.
+ 5% of close · capped at $4,000/mo
Minimum
Strategic scale outreach on email and LinkedIn channels.
Includes infrastructure + operations at cost.
+ 5% of close · capped at $3,000/mo
Starter
Effective starting point for cold outreach.
Includes infrastructure + operations at cost.
+ 5% of close · capped at $2,000/mo
What is the market price of the infrastructure?
We pass infrastructure through at cost. Here is the line-by-line breakdown.
| Item | Description | Qty | Market | Discount | Our Cost |
|---|---|---|---|---|---|
| Emails | Email volume | 10,000 | $250 | 20% | $200 |
| Domains | Outreach domains | Variable | $105 | 59% | $43 |
| AI — Claude, ChatGPT, Gemini | AI personalization & content | — | $280 | 46% | $150 |
| LinkedIn Sales Navigator | LinkedIn premium prospecting | 3 | $800 | 38% | $495 |
| HeyReach | LinkedIn outreach automation | 3 | $240 | 17% | $200 |
| Instantly | Cold email automation | — | $97 | 10% | $87 |
| Signals — Intent, Enrichment | Intent & buying signals | — | $600 | 67% | $197 |
| Databases | B2B contact databases | 10,000 | $1,165 | 35% | $760 |
| Clay | Data enrichment & outreach | — | $167 | 0% | $167 |
| Omniverifier | Email verification | — | $17 | 38% | $10 |
| Subtotal — Infrastructure | $3,721 | ~38% | $2,310 | ||
Email & domain purchase, configuration and setup
Define target audience & TAM
Contact sourcing strategy
Messaging & copy creation
Campaign setup & A/B testing
Automation tool integration
Custom scripts & workflows
CRM setup & configuration
Support channel setup
Automated lead nurturing sequence
Infrastructure + operations at cost.
Rev-share, capped at $3,000/mo.
* Market estimates based on retail pricing for comparable tools before bulk vendor discounts.
Ready to scale Daniel Shapiro?
Once you decide which package best fits your immediate growth goals, let us know and we will forward the master service agreement.