Founder-led operating companyOperator firstSoftware second
AI-Native Real Estate Acquisitions
Build inside a live wholesaling workflow first. Package proven operator software.
Lead intakeFollow-upQualifyRouteHandoff
AI-driven skip tracing and initial contact
INITIAL CLOSE$0k
ROUND CAPACITYUp to $0kExpedites growth and extends runway
INSTRUMENTPost-money SAFE
STRUCTURE$70k initial close on SAFE. Up to $200k capacity to expedite growth.
PROOF TARGETSLive deployment • repeatable throughput • cleaner operating data
COMPANY THESIS
Praxis AI is building an AI-native acquisitions engine for real estate wholesale. Most existing tools solve isolated steps such as lists, CRM, dialers, or buyer matching. The workflow layer — the connective tissue between these tools — is fragmented and weakly owned. We start by using the system ourselves, prove it in market, and only then package it into software for other operators.
PROBLEM
Deals are lost because outreach, follow-up, note-taking, qualification, and routing break down over time. Small teams struggle with consistency as volume rises.
Most products address a single slice: a dialer, a list provider, a CRM. None of them own the full loop. Operators end up stitching together 5+ tools with manual glue, which degrades as deal volume increases. The breakdown isn't in any one tool. It's in the handoffs between them.
SOLUTION
Replace a large share of repetitive acquisitions work with software while keeping human judgment where it matters. More touches, tighter process, cleaner records.
Not chatbot wrappers or prompt-stuffed dashboards. AI is embedded in the workflow itself: classifying seller motivation from call transcripts and response patterns, deciding follow-up timing, routing leads by deal quality, and maintaining context across weeks of multi-touch outreach.
WHY THIS WEDGE
The opening is not generic AI. It is process discipline for wholesalers where consistency compounds. Most products cluster around isolated features; the workflow layer remains fragmented across disconnected tools.
BUSINESS MODEL
Internal operator economics first. Hosted software later for wholesalers, investors, and acquisitions teams that want leverage without building custom AI infrastructure.
Current Status
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Discovery Calls
Operator conversations validating workflow pain points and willingness to pay.
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Workflows Mapped
End-to-end acquisitions processes documented and ready for automation.
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Pilot Conversations
Early demand signals from operators interested in the hosted product.
Market Sizing
TAM~$0BTotal Addressable Market
~5.5M US residential RE transactions/year. Wholesale touches ~5-8% (~330k deals) at $10-15k avg assignment fee.
SAM~$0MServiceable Addressable Market
~40,000+ active wholesalers spending ~$3-5k/year on tools and services (data, CRM, dialer, skip trace).
SOM~$0MServiceable Obtainable Market
~2,000 small-to-mid operators (1-5 person teams) in initial target markets who can't afford or manage fragmented tool stacks.
TAM derived from NAR annual transaction data (~5.5M residential sales) with wholesale participation estimated at 5-8% based on industry surveys. Average assignment fees sourced from wholesaler community data and public closing records. SAM based on estimated active wholesaler count from state licensing data and industry platforms. SOM scoped to initial go-to-market geography and operator size segment.
Competitive Landscape
The Workflow Layer Is Fragmented
Highly AutomatedHuman-Operated
BatchDialer
Mojo
Auto-dialers (one step only)
Praxis AI
End-to-end automated workflow
PropStream
BatchLeads
ListSource
Data providers
REsimpli
Podio
CRM/workflow (still manual)
Single StepEnd-to-End
Every existing tool requires a human to drive the workflow. Praxis AI automates the repetitive layer — human judgment stays at key checkpoints.
Tool
What it does
What it doesn't
PropStream / BatchLeads
Property data & skip tracing
No outreach, no follow-up, no workflow
Podio / REsimpli
CRM & record keeping
No automation, no AI, manual everything
BatchDialer / Mojo
Power dialing
No qualification, no routing, no context
Praxis AI
Automates the full loop — escalates to humans when needed
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Product & Operating Model
STAGE 1: INTERNAL OPERATOR
Build the acquisitions engine inside a founder-led wholesale workflow. Focus on outreach, follow-up, qualification, routing, note-taking, and human handoff where judgment is required.
AI initiates outreach across skip-traced seller leads
Automated follow-up sequences with smart timing
Call transcription, response analysis, and motivation scoring
Qualification routing based on deal signals
Human handoff for negotiation with full context packet
All activity logged for process refinement
STAGE 2: HOSTED SOFTWARE
Use live process data and internal economics to package the engine as software for wholesalers, investors, and acquisitions teams that want leverage without building custom AI infrastructure.
Internal deployment produces real feedback, real edge cases, and real economics. The resulting product is built from hundreds of actual deals, not hypothetical workflows. This creates stronger product-market fit and more credible sales conversations than a thesis-first approach.
Stage 1 Revenue
Direct income from internal wholesaling activity: assignment fees, double closes, and creative finance spreads.
Stage 2 Revenue
Hosted software through subscriptions, usage pricing, or hybrid service tiers depending on operator complexity.
Customer Path
Initial customer is our own operation. Future customers: wholesalers, investors, acquisitions managers, and related operators.
Modeled System Economics
The model below illustrates operating leverage at various deal volumes — not a near-term forecast. Actual results depend on successful automation deployment, market conditions, and execution speed.
550
$5k$25k
MONTHLY REVENUE$80,000
ANNUAL REVENUE$960,000
MONTHLY PROFIT$79,500
MONTHLY COSTS$500
PROFIT MARGIN99.4%
RUNWAY (FROM RAISE)140 months
Break-even at less than 1 deal/month
Near-zero marginal cost per deal. The AI runs whether it closes 5 or 50.
These figures represent modeled upside at operational scale, not guaranteed projections. They assume successful automation deployment across the full acquisitions workflow.
Roadmap
Phase 1
0–6 months
Internal operator workflow
Live outreach, follow-up, qualification, note-taking, routing, and human handoff in market.
End-to-end acquisitions engine deployed in live market conditions. Measurable outreach volume, response rates, and qualification accuracy. Foundation for all future iterations.
Phase 1.5
6–12 months
Refine throughput & metrics
Cleaner records, better economics, stronger process discipline, and clearer proof points.
Higher contact-to-qualified ratios, faster follow-up cycles, cleaner CRM data, lower cost-per-lead, and documented process improvements that prove the engine works.
Phase 2
12–24 months
Hosted SaaS packaging
Operator-facing product layer, early pilots, and initial software commercialization.
Only triggered by repeatable internal metrics. First external pilots with known operators. Subscription or usage-based pricing tested. No premature scaling.
Capital Strategy
Initial close: core engine$70k
Acceleration: throughput & depth$150k
Full round: SaaS readiness$200k
$70k
Initial close
6-month proof cycle: compute & infrastructure, founder full-time execution, and pilot operating costs.
$100k–$150k
Acceleration
More experimentation, higher contact volume, better workflow depth, and stronger internal proof.
Up to $200k
Full round
Multilingual support, hosted architecture, early operator pilots, and initial SaaS packaging.
Compute & infrastructure
Hosted and local compute, calling and messaging stack, data providers, workflow tooling, and core systems needed to run the engine.
Founder full-time execution
Modest founder runway to protect focused, full-time execution during the build, deploy, and validation phase.
Pilot, operating & compliance
Live-market testing, process iteration, legal review, compliance support, and operating costs through initial proof.
Risks & Mitigation
EXECUTION RISK
The product must prove itself in live conditions, not in theory.
Mitigated by narrow first wedge, lean deployment, and founder-operated testing before any commercialization.
COMPLIANCE RISK
Real estate workflows must respect state-by-state realities.
The system escalates decisions to humans at compliance-sensitive checkpoints. Legal review is built into the workflow, not bolted on after.
COMMERCIALIZATION TIMING
The software layer should not be rushed.
Stage 2 only triggers after internal proof points are met. No premature product launch. The engine earns the right to become software.
CAPITAL EFFICIENCY
Early burn must remain controlled.
Built around speed to proof rather than headcount. Founder-led execution keeps fixed costs minimal during validation.
Milestones for This Round
A functioning end-to-end internal acquisitions engine in market
Live outreach and follow-up at meaningful volume
Consistent qualification, recordkeeping, routing, and human handoff
Operating metrics that support later software commercialization
Founder
Jack Kochen
Founder & CEO, Praxis Dynamics LLC
System-first operator. Turns messy workflows into scalable engines.
Entrepreneur and operator with a background in crypto, growth systems, and automation. Early contributor to DeFi on Cardano through VyFinance, with experience building and scaling online communities and marketing systems across multiple projects. Has led growth, infrastructure, and execution across blockchain, SaaS, and local service businesses.
Combines deep experience in automation, lead generation, and operational systems with a bias toward execution over theory. Focused on reducing chaos in high-friction industries and turning them into scalable, system-driven pipelines.
Built specifically for real estate wholesale because it combines the three things most operators lack: workflow design discipline, operational automation at the follow-through layer, and the technical ability to wire high-friction systems into a single engine.
Early builder in DeFi ecosystem, contributed to Cardano-based protocol VyFinance
Built and managed large-scale online communities (tens of thousands of users)
Experience across crypto, SaaS, and local business acquisition funnels
Hands-on technical operator who builds and deploys systems end-to-end
Public speaker at NFTNYC, Web3Expo, Miami Cryptocurrency Experience, and more
Featured in Yahoo News, TD Ameritrade, Benzinga, Associated Press
A proof-first raise to validate the internal engine, demonstrate live-market performance, and earn the right to move faster later.
WHAT THIS ROUND IS NOT
A $200k day-one commitment. The round opens at $70k on a SAFE. Additional capital expedites growth and grants extended runway — not a requirement, but an accelerant.