The AI Distribution Company
The AI is here.
We get it to the people.
Models don't change the world. Distribution does. Not advisors who send decks — engineers and PMs who own go-to-market, configuration, and adoption.
No commitment. No pitch deck. Prefer email?
5×
Faster
60d
First sprint
<4mo
ROI
How We Operate
Distribution. Deployment. Discourse.
Three ways we get AI products out of the lab and into your team's daily work.
Distribution
Get the right AI product noticed
Go-to-market for AI products — developer relations, community building, events, content, and field activation. One partner, one playbook, one number to call.
Talk distributionDeployment
Get it running inside your org
Embedded FD engineers and PMs who configure, integrate, and operationalize AI products in your environment — from RAG pipelines to change management — until it's production-grade, in 60–90 days.
See what we deployDiscourse
Make it legible for your team
A weekly newsroom that makes AI understandable — news, primers, playbooks, and a live catalog of tools and jobs — so your teams adopt with confidence, not confusion.
Read the DiscourseDeployment, In Practice
Six pillars of forward deployment
From product selection to outcome measurement — we own every layer of your AI deployment.
Product Fit Assessment
We analyze your team, workflows, and data — then tell you which AI product (Cursor, Glean, Claude, Copilot, ProShot, Statisfy, or Aida) will deliver the highest ROI. We start with the solution, not a blank slate.
RAG & Data Configuration
We ingest your docs, Slack, Notion, wikis, and proprietary data — and build a RAG layer that meets enterprise quality standards for retrieval precision, faithfulness, and latency.
Change Management & Adoption
Deployment is only half the battle. Our FD PMs run structured change programs — champion networks, training, async rollout — until your org actually uses the product daily.
Outcome Measurement
We define success metrics before Day 1 and report them every sprint: adoption rates, time saved, RAG quality scores, agent task completion, and business impact.
Forward Deployment Engineering
Our FD Engineers embed in your environment — configuring integrations, building agent workflows, tuning models, and owning the technical stack end-to-end. Not remote. Not advisory.
Forward Deployment PM
Our FD PMs sit in your standups, run your AI rollout sprints, and are accountable to your business outcomes — not hours billed. They stay until success metrics are locked.
Not sure which product fits?
Book a free Product Fit Assessment — no commitment required.
Products We Deploy
The world's best AI tools, expertly deployed
Product-agnostic and outcomes-first — we deploy whichever tool is the best fit.
Claude
Broad AI access & agentic workflows
Cursor
AI-native code editing for dev teams
Copilot
In-IDE assistance at enterprise scale
Glean
Enterprise knowledge search & retrieval
From the Discourse
What we're reading this week
mit-tech-review · 180d ago
OpenSnow Delivers Advanced Weather Insights for Skiers
OpenSnow, an AI-driven weather startup, offers tailored snow forecasts for skiers, leveraging government data to deliver superior insights. Its unique approach delivers accuracy and reliability, marking a significant advancement in niche weather applications.
Readmit-tech-review · 180d ago
Exploring Cryonics: A Choice for Post-Death Preservation
Cryonics, the preservation of bodies and brains after death, is gaining attention. This article examines the case of L. Stephen Coles, a gerontologist who opted for cryonic preservation.
Readtechcrunch-ai · 180d ago
Anthropic Secures Injunction Against Trump Administration
A federal judge has mandated the Trump administration to revoke restrictions imposed on Anthropic. This ruling could have significant implications for the company’s operations within the Defense Department sector.
ReadThe Process
From assessment to outcomes in 4 phases
2-week sprints. Clear metrics. Embedded ownership throughout.
Fit
In a free Product Fit Assessment, we analyze your team, tools, and goals — then recommend the right AI product and a clear deployment roadmap.
Configure
We connect your data, build the RAG layer, configure integrations, and set security policies. Your FD Engineer owns every technical decision.
Deploy
We run 2-week sprints from pilot to full org rollout — with structured training and change management at every step.
Measure
We track your success metrics every sprint and optimize continuously. Your FD PM stays embedded until outcomes are proven and repeatable.
Deployments
Real work, in the field
A few of the organizations we've embedded with recently.
Enterprise data security platform
Mapped their post-sales support operations end-to-end to find which workflows could be automated — then built the automation for the ones that mattered most.
Hospitality operations group
Audited how the business ran day to day, surfaced where operations spend was leaking, and automated the fixes — turning a slow, manual process into one the team trusts.
Shipping & mailing software company
Built the product they'd been trying to ship for years — now live with their distributor network, including automated shipping label generation at scale.
Why Us
Not another AI consultancy
We don't advise. We don't build from scratch. We embed and deploy — and we own the outcomes.
Embedded, not remote
Forward Deployed
Our engineers and PMs sit inside your org — in your Slack, your standups, your tools. We're not sending weekly reports from afar. We own the outcome, in your environment.
Start with the answer
Solution-First
We don't start by auditing your pain for weeks. We start with the world's best AI products and identify which one fits you — saving months of bespoke development and endless discovery.
Measured on results
Outcome Ownership
We define success metrics before kickoff and don't consider an engagement complete until they're hit. Monthly subscription keeps us accountable to outcomes, not hours.
Ready to see your deployment roadmap?
Book a free Product Fit Assessment. We'll tell you which AI product fits your team and what full deployment looks like.
See if we're a fit — free 20 minNo commitment. No pitch deck. Prefer email?
Common questions
Everything you need to know before booking a call.
What is forward deployment?
Forward deployment means we embed our engineers and product managers directly at your organization — not as advisors who send decks, but as technical operators who own the deployment. We configure the AI product in your environment, drive adoption across your team, and measure business outcomes. Think of us as an embedded AI ops team who stays until the numbers prove it's working.
Why not just use the product company's own deployment team?
The AI product company's CS team will help you get set up — they're great at that. But they're not embedded in your org, they're not accountable to your business outcomes, and they won't run change management or track your adoption numbers. We will. We're also product-agnostic: if Cursor is the right tool this quarter and Glean is the right tool next quarter, we'll tell you — we're not incentivized to keep you on one product.
How is this different from just buying the software license?
Buying a license gets you access. Forward deployment gets you outcomes. Most AI product rollouts fail not because the product is bad — but because nobody owns configuration, data quality, change management, or success measurement. That's exactly what we do.
What does an engagement cost?
Engagements start with a one-time deployment fee (typically $30K–$80K depending on scope and org size) to configure and roll out your AI product. After that, a monthly FD subscription covers ongoing optimization, new sprint cycles, and adoption monitoring. We'll give you a precise scope in the free Product Fit Assessment — no commitment required to get that number.
Which AI product will you recommend for us?
It depends on your use case. For dev teams, it's usually Cursor or Copilot. For enterprise knowledge and search, Glean is often the right fit. For broad AI access and agentic workflows, Claude is our default. We'll tell you which one — and why — in the Product Fit Assessment.
How long does deployment take?
Our first sprint is 2 weeks. A pilot deployment covering your initial champion team runs 4–5 weeks. Full org-wide deployment — including change management, training, and measurement — typically runs 60–90 days. We'll scope it precisely in your free Product Fit Assessment.
How do you handle our data and security?
All data stays in your environment. We configure your AI products to meet your security policies — no data trains public models, all integrations use your credentials, and we document every data flow. We work within SOC 2 and HIPAA constraints.
Still have questions?
Ask us in the free Product Fit Assessment