YOU HAVE TRACTION.
NOW IT NEEDS
A SYSTEM.
Bastille builds and runs the operating layer between first traction and the next institutional round: commercial operations, narrative architecture, and fundraising inside the company.
Scope the operating gap →Commercial operations built for the move from design partners to repeatable GTM. Narrative and raise work behind an $880K seed. A GTM implementation that moved $1.5M in 30 days.
Our Approach
Full approach →GROWTH
You have demand. Sales, onboarding, feedback, and retention still live with you.
One embedded operator builds the system around the signal, then runs the motion inside the company.
NARRATIVE
Your company changed. The story did not keep up.
The narrative starts with the product, customer evidence, and market claim. Customer conversations and investor meetings test whether it holds.
RAISE
The raise starts before the deck goes out.
Milestones that matter. Evidence available today. Gaps the company must close before investors see it. When the raise opens, Bastille runs the process beside you.
You keep product and company vision. One embedded operator owns the work that connects customers to capital.
The function should survive the engagement. The operating model, permanent role, and decision history transfer into the company.
Case Studies
All case studies →Vertical AI for Rental Operators
Hashfire
GTM diagnosis, narrative architecture, and fundraising operations. Each one a repeatable framework, built over a decade across venture capital, ecosystems, and emerging technology.
See the background →Approach
The work starts when the company has real signal and you have become its operating system. One embedded operator finds the function that needs to exist, builds it, and owns it inside the company.
Customer evidence, pipeline, pricing, conversion, retention, and market position. One diagnosis and a sequenced operating plan.
Qualification, onboarding, weekly management, insight synthesis, sprint routing, and conversion to paid accounts.
Pipeline ownership, demand qualification, follow-through, and a direct connection between commercial work and product decisions.
Account cadence, health signals, escalation rules, renewals, and a product-feedback loop. Embedded ownership until your team can take over.
Positioning and distribution within platform and protocol ecosystems: grants, co-marketing, and institutional partnerships outside standard VC channels.
Company position, category claim, proof points, objections, and audience-specific message structure. The deck becomes one expression of the system.
Investor milestones connected to the company’s weekly plan. Revenue where it exists. Usage, retention, and pipeline evidence where it does not.
The right funds. Early relationships. A steady record of evidence that moves the company from first conversation to active conviction.
Target list, sequencing, meeting preparation, debriefs, follow-up, data room, and diligence under one owner. You run the room. Bastille runs the system around it.
Software handles the work that should not depend on memory or another spreadsheet.
Available inside each engagement
GTM-to-investment readiness system. Generates a cohort-aware metrics dashboard calibrated to the founder's vertical and stage, then runs AI devil's-advocate mock investor and customer interviews to pressure-test the narrative before live rooms.
Portfolio intelligence application. Classifies companies against strategic lenses, runs natural-language portfolio Q&A with a saveable scenario library, and scores new-company fit with confidence-rated classifications and team-handoff routing. Built for venture and corp-dev contexts.
Market-mapping tool. Plots competitive positioning across a landscape, surfaces adjacent players, and identifies the whitespace a founder's narrative should claim.
About
Capital is moving, but conviction is scarce. In crypto, the infrastructure cycle gave way to a founder market where only the sharpest narratives close. In AI, the flood of capital has made differentiation the entire game. In B2B SaaS and embedded finance, buyers are more sophisticated and more skeptical than they were two years ago. The pattern is the same: founders building real companies in categories that move faster than buyer understanding.
Whether the problem is too little attention or too much of the wrong kind, the work is the same — get clear on what you've built, who it's for, and why the capital or the customer should move now. Bastille exists for this stage of that problem.
Most founders who don't close rounds or convert customers don't have a product problem. They have a clarity problem, or a capacity one — and Bastille exists to close that gap.
Sixteen years across venture capital, frontier technology competitions, and protocol ecosystems — positioning genuinely new ideas to audiences still learning how to see them. The through-line is consistent: founders building something real in a paradigm their investors and customers don't fully understand yet.
At SignalFire ($4B AUM), he built the AI Talent Community from zero — 1,000+ engineers and data scientists engaging monthly as investment signal and deal flow. He cultivated ~25 Fortune 500 CXO advisory relationships, concentrated them into ~30 active CXO-to-portfolio engagements, and facilitated a $1M+ direct investment from a CXO into a portfolio company. The fund-side view of what actually moves capital when the technology is genuinely new.
At XPRIZE, he ran the $11M AI XPRIZE as its primary operator — account lead for IBM Watson, 156 teams recruited from 22 countries, 50+ institutional partnerships worth $4M+ in cash and in-kind (United Nations, Stanford, MIT, Harvard, CMU, AWS, GCP). He sat on the organizing committee of the inaugural United Nations AI for Good Global Summit and helped produce the public debut of Stanford HAI. The summit still runs.
At M13 ($1B AUM), he closed $200K in partnership commitments in year one, activated 15 institutional partners including AWS, GCP, and JP Morgan, and ran 70+ events that engaged 3,000+ founders and investors.
At Ava Labs, the methodology became Codebase — four cohorts, 28 companies, ~$8M raised across the portfolio. He built a 300+ investor network and a 15+ fund VC advisory board structured as a two-sided exchange: their deal flow and founder advice in, proprietary deals routed to their pipelines out. Mezzanine closed $1.7M led by Coinbase Ventures. Hashfire raised an $880K seed at a $30M valuation.
Bastille Advisory is the same work — without the institutional layer between the operator and the founder.
The introductions Bastille makes are direct — built over a decade across funds, ecosystems, and deal flow.
Case Studies
Selected engagements. Each one started with a conversation about what wasn't working.
OS for Agents
Confetti
Hashfire
Zero-Party Data Platform
Vertical AI for Rental Operators
OpenGuild
Additional cases in preparation.
Contact
Not sure where to start? That's what the first session is for. Book a slot →