Commerce Is Evolving. We Build For Both.
Advertising still works. AI is reshaping discovery. Agents are starting to transact. Smart brands don't pick one — they build for all three. That's what we do.
Advertising Is
Splitting In Two
The programmatic world we built for humans is becoming the infrastructure for agents.
And the "old school" channels? They're becoming premium again.
Two audiences. Two playbooks. One economic reality: attention is still the asset, but who holds it is changing.
Human-to-Human
Here's the contrarian take we're most confident in: physical retail is going to boom. When agents handle routine digital tasks, humans will want to be somewhere. Showrooms become destinations. Stores become experiences.
- TV & Streaming — Agents don't watch content
- DOOH & Billboards — Physical presence = human eyeballs
- In-Store & Experiential — The showroom becomes the ad
- Events & Sponsorships — Community can't be automated
The play: Creative storytelling. Emotional resonance. The brands that invest in physical presence now will own the human attention channel.
Agent-to-Human
Your agent knows you — your style, your budget, your weird obsessions. When a brand surfaces a signal, your agent evaluates: Does this fit? Is this worth mentioning? The agent is the filter.
- Structured Data & APIs — Agents query catalogs, not websites
- Product Feeds — Machine-readable, enriched, normalized
- Agent Signal Networks — Brands surface to matching agents
- AI Discoverability (GEO) — Optimized for LLM retrieval
The play: Not persuasion — relevance. Data fidelity. Being the signal your customer's agent actually wants to surface.
Here's where it gets interesting.
Imagine you're Scott. Your agent knows you like dark clothes, casual shoes, and golf (even though you're not great at it). Yesterday, Municipal dropped a new golf shoe. Your agent got a signal — not because it was browsing, but because Municipal proactively surfaced it to agents who match the profile.
Your agent evaluates: Does this fit Scott's preferences? Is this the right moment to mention it? If yes, it surfaces. If no, it doesn't. The agent is the filter.
The Economic Model
(or doesn't)
Permission-Based
The human opts in to preference-based recommendations
Fiduciary Relationship
The agent's job is to serve the human, not the brand
Relevance is the Filter
Brands can't buy their way past a bad fit
Trust Compounds
Agents that surface garbage lose trust; agents that surface gold become indispensable
The New Attention Marketplace
Brand → Human
(hope they're paying attention)
Brand → Agent → Human
(only when relevant)
The agent becomes:
- The new media buyer's target — Brands optimize for agent selection, not human impression
- The editorial filter — Agents decide what's worth surfacing based on user context
- The trust broker — Bad recommendations erode trust; good ones compound it
This isn't "just data infrastructure." This is a new economic exchange where brands pay to surface, agents decide relevance, and humans get recommendations that feel personal because they actually are. It rewards relevance over reach. It punishes noise. It aligns incentives in ways that banner ads never did.
Two audiences. Two playbooks. One partner who runs both.
Human-to-human advertising isn't dying — it's becoming premium.
Agent-to-human advertising isn't replacing it — it's emerging alongside it.
The brands that win will run both playbooks fluently.
Where We're Going
We think we're 18-36 months from the fork being obvious to everyone. Right now, it's still weird enough to be an advantage.
Years Combined Experience
Projects Launched
Custom MCP Tools
Based, Global Reach
Foundation
- Prove the model with lighthouse clients across core verticals
- Ship Neural Core v2 with expanded agent capabilities
- Launch first agent-ready product catalogs
- Establish GEO optimization methodology
Scale
- Neural Showrooms expands into new verticals (cannabis, luxury retail, experiential)
- Agent Signal Network pilot with select brand partners
- First "agent-mediated" commerce transactions
- Team expansion: 5 → 15
Platform
- Open Neural Core to partners
- Agent Signal Network at scale
- The operating system for intelligent marketing — for the industry
The Stack,
Under The Hood
Three founders. Zero dev experience a year ago. Built 80% with Claude Code. Deployed natively in AWS. This is what we ship.
Neural Core
The connective tissue. Neural Core orchestrates everything below — agents, tools, data pipelines, and client-facing applications. One platform, infinite workflows.
Neural Agents
Claude-powered agents, Helicone-proxied to keep them on a leash. Pipeline agents. Content agents. Analysis agents. Sales research agents. Our internal conversational agent Maya. Client-facing Sasha (named after a 12-year-old golden retriever we still miss).
Our PDF → Text Extract → Chunking → LLM Analysis → JSON Product Structure workflow is pretty weird. Like us. This is the unsexy infrastructure that makes agent-readable commerce possible.
Neural MCP
Custom MCP server with 50+ tools. These tools empower agents to automate entire workflows: Prospect Identification → Enrichment → Push to CRM → Automated Outreach. End to end.
Neural Showrooms
Infrastructure for physical retail that happens to have a digital component. 200k+ products across 100+ OEMs, all npAI Enriched. Better shopping experience for humans. Better data structure for agents. Same infrastructure serves both.
Cannabis, luxury retail, high-end home. Verticals where physical presence matters.
Neural Data Pipeline
Server-to-server analytics. Custom S2S pipelines for Conversion APIs (Meta, GA4, Klaviyo). Data ingest via SFTP, API, whatever you've got. All stored in S3 Data Lake. All accessible via MCP servers for our agents.
Neural Labs
Full-service performance marketing. We've managed millions in ad spend — and we still believe in advertising that works. The same infrastructure above powers everything we do for clients.
Reality: 90% of revenue currently comes from agency fees. This is our bread and butter while we build the infrastructure for tomorrow. We're not embarrassed by this — it's how we stay close to real marketing problems while building for where commerce is going.
- Paid media (Meta, Google, TikTok, programmatic)
- Creative strategy & production
- Conversion-focused web design
- SEO, GEO & AI discoverability
Built by Practitioners
Three friends who've worked together, trust each other, and know what breaks. We've collectively managed hundreds of millions in ad spend. We're not theorists.
Scott Blodgett
Co-Founder
- 15+ years building advertising technology and automation systems
- Managed $100M+ in ad spend across Meta, Google, and programmatic
- Architected Neural Core and 50+ custom AI tools
Andrew Lane
Co-Founder
- 16+ years driving growth for emerging technology companies
- Specializes in leveraging new tech for competitive advantage
- Content, social, and digital advertising strategist
Jarod Reynolds
Co-Founder
- 16+ years running performance campaigns for startups to Fortune 500
- Deep expertise in retail, automotive, cannabis, and regulated industries
- Client-side and agency-side leadership across full marketing stack
Humans Make
This Possible
We're building AI infrastructure, but we never forget: humans make all of this possible. That belief shapes everything about how we operate.
Three Friends. One Belief.
Neural Partners started with three people who've known each other for years, built together before, and share a simple conviction: the companies that treat their people right are the ones that last. We're not building to flip. We're building to matter.
Based in South Burlington. Small state, tight community, long winters that make you focus on what matters. We like it here.
Every Human Gets Equity
Every full-time employee receives meaningful equity. If they leave, they keep it. This isn't a retention tactic — it's a principle. You helped build it, you own part of it. Period.
Small Team, High Trust
We're not hiring to hit headcount targets. We're hiring believers — people who see what we see and want to build it with us. Few people, deep trust, real ownership.
Channel Agnostic
We don't bet on "AI will replace everything" or "humans will always prefer humans." We build for both because commerce will use both. No ideology, just infrastructure.
Humans + Machines = Teammates
We don't treat AI as a tool or a threat. We treat AI systems as colleagues — with different strengths and genuine contributions to the work.
If this sounds like the kind of place you want to build, reach out. We're always open to meeting the right people.