REMI
REMI
The Intelligence Layer
for Real Estate Capital
The Intelligence Layer
for Real Estate Capital
My Journey Here
My Journey Here
Fairview Capital Partners
Helped onboard largest deal in firm history, PA-SERS, for my Co-Op at the boutique firm.
Fairview Capital Partners
Helped onboard largest deal in firm history, PA-SERS, for my Co-Op at the boutique firm.
IBM Global Financing + Watson AI
Led 0-1 integration of Watson AI into IBM’s largest deal-making platform.
IBM Global Financing + Watson AI
Led 0-1 integration of Watson AI into IBM’s largest deal-making platform.
Point72 Asset Management + New York Mets
Built multiple data platforms from 0-1 ranging from crypto to baseball. Featured in WSJ, NY Times, & more.
Point72 Asset Management + New York Mets
Built multiple data platforms from 0-1 ranging from crypto to baseball. Featured in WSJ, NY Times, & more.
SMBC / Jenius Bank
Helped SMBC build & scale data platform for their first Digital Banking Unit.
SMBC / Jenius Bank
Helped SMBC build & scale data platform for their first Digital Banking Unit.
REMI
Left corporate to focus full-time on building the solution I wish existed at all my prior employers. Building the solution I wished existed — now with AI capable enough to make it real.
REMI
Left corporate to focus full-time on building the solution I wish existed at all my prior employers. Building the solution I wished existed — now with AI capable enough to make it real.
Nadi Haque — Founder
Nadi Haque — Founder
The Problem
The Problem
AI Lives in Spreadsheets.
But Firms Live in Context.
AI Lives in Spreadsheets.
But Firms Live in Context.
Today's AI tools are powerful, but nerfed. They operate at the cell level, not the firm level. Investment Firms have chain reactions — work on a deal, that's tied to an asset, that's in a portfolio. They don't know your assets, your thesis, your IC, or what happened on the last deal.
Today's AI tools are powerful, but nerfed. They operate at the cell level, not the firm level. Investment Firms have chain reactions — work on a deal, that's tied to an asset, that's in a portfolio. They don't know your assets, your thesis, your IC, or what happened on the last deal.
Just a Faster Calculator
AI's working 40/168 hours
Dependent on human input, firms are not capitalizing on the sheer volume of work AI can do.
Just a Faster Calculator
AI's working 40/168 hours
Dependent on human input, firms are not capitalizing on the sheer volume of work AI can do.
Zero Memory
2.3 year avg analyst tenure
Every session starts from scratch. Firm history, IC preferences — gone.
Zero Memory
2.3 year avg analyst tenure
Every session starts from scratch. Firm history, IC preferences — gone.
Still Manual
4-8 hrs per lease
63% of RE teams say unstructured files are their #1 bottleneck.
Still Manual
4-8 hrs per lease
63% of RE teams say unstructured files are their #1 bottleneck.
🧠 The Analyst
is still the integration layer
🧠 The Analyst
is still the integration layer
Funds hedge Market Risk but remain fully exposed to Key-Person Risk.
Bad hiring decisions are often made & key employees leave regularly. These drop your Fund's IQ significantly.
Funds hedge Market Risk but remain fully exposed to Key-Person Risk.
Bad hiring decisions are often made & key employees leave regularly. These drop your Fund's IQ significantly.
The Trust Gap
The Trust Gap
You Wouldn't Let AI File Your Taxes.
Why Would You Let It Deploy $100M?
You Wouldn't Let AI File Your Taxes.
Why Would You Let It Deploy $100M?
Even TurboTax asks you to review before filing. Deal-making at scale requires the same rigor — every number cited, every decision approved, every action auditable.
Even TurboTax asks you to review before filing. Deal-making at scale requires the same rigor — every number cited, every decision approved, every action auditable.
What People Fear
AI makes a decision I don't understand
Numbers appear from nowhere — no audit trail
I lose control of my own process
"Trust the AI" isn't good enough for LPs
“I need to explain this to my IC. 'The AI said so' doesn't cut it.”
What People Fear
AI makes a decision I don't understand
Numbers appear from nowhere — no audit trail
I lose control of my own process
"Trust the AI" isn't good enough for LPs
“I need to explain this to my IC. 'The AI said so' doesn't cut it.”
How REMI Works
“Show me exactly where that 12% IRR came from.” → Instant citation.
How REMI Works
“Show me exactly where that 12% IRR came from.” → Instant citation.
REMI is built for the Reviewer, not just the Runner. AI handles the 80% grunt work. Your team does the 20% expert judgment that actually matters.
REMI is built for the Reviewer, not just the Runner. AI handles the 80% grunt work. Your team does the 20% expert judgment that actually matters.
Current Solutions
Current Solutions
Two Approaches. Same Dead End.
Two Approaches. Same Dead End.
Headcount Approach
Scaling headcount is expensive & takes >1Y for positive ROI. In the AI-age, this approach is outdated.
Mid-market RE is 3× less efficient than PE/Hedge Funds.
Headcount Approach
Scaling headcount is expensive & takes >1Y for positive ROI. In the AI-age, this approach is outdated.
Mid-market RE is 3× less efficient than PE/Hedge Funds.
Generalist AI Approach
GPT & Claude are great, but lack context. Once everyone has Claude running, the novelty will wear off & real alpha will be chased.
Works 40 hours/week
Copilot & Claude are great - but they only work when the analyst does
Understands Excel, not your assets
Generic outputs that miss deal-specific nuance
Starts from 0 every session
No compounding knowledge, no firm memory
Generalist AI Approach
GPT & Claude are great, but lack context. Once everyone has Claude running, the novelty will wear off & real alpha will be chased.
Works 40 hours/week
Copilot & Claude are great - but they only work when the analyst does
Understands Excel, not your assets
Generic outputs that miss deal-specific nuance
Starts from 0 every session
No compounding knowledge, no firm memory
Data prompts the decision making, but the memory of those decisions are stuck in human heads. An individual gets wiser, but the firm remains the same.
Data prompts the decision making, but the memory of those decisions are stuck in human heads. An individual gets wiser, but the firm remains the same.
What if instead…
What if instead…
You started every morning
at the finish line?
You started every morning
at the finish line?
Drafts ready. Models updated. Insights waiting.
AI that works while you sleep — and remembers everything.
Drafts ready. Models updated. Insights waiting.
AI that works while you sleep — and remembers everything.
AI Agents That Know
Your Entire Firm.
AI Agents That Know
Your Entire Firm.
REMI builds a living Context Graph of your deals and deploys autonomous agents that work 24/7.
REMI builds a living Context Graph of your deals and deploys autonomous agents that work 24/7.
Email Arrives
Deal flow from broker
PDFs Extracted
OM, financials, rent rolls
Context Graph
Link to asset & fund history
Compare Past Deals
Match against 847 prior deals
Apply Fund Rules
IC criteria, thesis filters
Draft Generated
IC memo + model ready
Human Review
Your decision, your control
Market Opportunity
Market Opportunity
$25B+ Total Addressable Market — The Invisible Majority
$25B+ Total Addressable Market — The Invisible Majority
$1.6B+ Core RE TAM is just the tip of the iceberg
$1.6B+ Core RE TAM is just the tip of the iceberg
Visible
Institutional
(Preqin Tracked)
~8-10K Firms
Enterprise & Mid-Market
High ACV ($150K+)
~12-15K Firms
Mid-Market & Boutique Sponsors
Moderate ACV ($50K-100K)
~20-30K Firms
Active Capital Raisers
Accessible ACV ($20K-40K)
30,000+ Reg D Filers/Yr
Long Tail / Pro-Sumer Investors
Volume ACV ($5K-15K)
The Invisible
Market
(Boutiques,
Syndicators,
Family Offices)
Visible
Institutional
(Preqin Tracked)
~8-10K Firms
Enterprise & Mid-Market
High ACV ($150K+)
~12-15K Firms
Mid-Market & Boutique Sponsors
Moderate ACV ($50K-100K)
~20-30K Firms
Active Capital Raisers
Accessible ACV ($20K-40K)
30,000+ Reg D Filers/Yr
Long Tail / Pro-Sumer Investors
Volume ACV ($5K-15K)
The Invisible
Market
(Boutiques,
Syndicators,
Family Offices)
Segment
Firms
Est. ACV
Market Size
Enterprise & Global Giants
~500
$250K+
$125M+
Core: Mid-Market Institutions
~8,000
$100K
$800M
Active Capital Raisers (Reg D)
~35,000+
$30K (Avg)
$1.05B+
Adjacent: Private Credit
~4,000
$120K
$480M
Adjacent: Infrastructure & PE
~6,000
$150K
$900M+
Total Addressable Market
~100K+ Firms
Blended ACV
$25B+
The Strategic Insight: Same Product, Two Motivations.
Institutions buy for EFFICIENCY (replace analysts, reduce cost). The Invisible Market buys for CAPABILITY (access institutional-grade tools they couldn't afford otherwise).
The Strategic Insight: Same Product, Two Motivations.
Institutions buy for EFFICIENCY (replace analysts, reduce cost). The Invisible Market buys for CAPABILITY (access institutional-grade tools they couldn't afford otherwise).
Sources: Preqin 2025, SEC Reg D Filings (Annual), AppFolio 10-K (Customer Count), IRS Partnership Data
Sources: Preqin 2025, SEC Reg D Filings (Annual), AppFolio 10-K (Customer Count), IRS Partnership Data
Segment
Firms
Est. ACV
Market Size
Enterprise & Global Giants
~500
$250K+
$125M+
Core: Mid-Market Institutions
~8,000
$100K
$800M
Active Capital Raisers (Reg D)
~35,000+
$30K (Avg)
$1.05B+
Adjacent: Private Credit
~4,000
$120K
$480M
Adjacent: Infrastructure & PE
~6,000
$150K
$900M+
Total Addressable Market
~100K+ Firms
Blended ACV
$25B+
The Strategic Insight: Same Product, Two Motivations.
Institutions buy for EFFICIENCY (replace analysts, reduce cost). The Invisible Market buys for CAPABILITY (access institutional-grade tools they couldn't afford otherwise).
The Strategic Insight: Same Product, Two Motivations.
Institutions buy for EFFICIENCY (replace analysts, reduce cost). The Invisible Market buys for CAPABILITY (access institutional-grade tools they couldn't afford otherwise).
Sources: Preqin 2025, SEC Reg D Filings (Annual), AppFolio 10-K (Customer Count), IRS Partnership Data
Sources: Preqin 2025, SEC Reg D Filings (Annual), AppFolio 10-K (Customer Count), IRS Partnership Data
Why Now
Why Now
The AI Wave is Here
The AI Wave is Here
Coding was the first knowledge-based skill to fall to AI. With AI Agents unlocked, operational knowledge-work is next.
Coding was the first knowledge-based skill to fall to AI. With AI Agents unlocked, operational knowledge-work is next.
Coding Assistant Adoption
12× growth in under 3 years
Coding Assistant Adoption
12× growth in under 3 years
AI Workers Projection
Benjamin Miller, CEO FundriseBy 2030: 35.4% of all US knowledge-work hours automated — equivalent to 20.4M FTE workers.
AI Workers Projection
Benjamin Miller, CEO FundriseBy 2030: 35.4% of all US knowledge-work hours automated — equivalent to 20.4M FTE workers.
Operations is next.
Operations is next.
Why Me
Why Me
Built for This Exact Problem
Built for This Exact Problem
I've built this exact type of system — enterprise AI data platforms inside complex financial institutions — four times. Understanding RE workflows is learnable. Building institutional-grade AI infrastructure that actually works? That takes years of scar tissue.
I've built this exact type of system — enterprise AI data platforms inside complex financial institutions — four times. Understanding RE workflows is learnable. Building institutional-grade AI infrastructure that actually works? That takes years of scar tissue.
Data-First AI Platforms
Led 0→1 Watson AI integration at IBM's largest deal-making platform. Built multiple data platforms from scratch at Point72. This is what REMI requires: complex, multi-source data unification with AI on top.
Data-First AI Platforms
Led 0→1 Watson AI integration at IBM's largest deal-making platform. Built multiple data platforms from scratch at Point72. This is what REMI requires: complex, multi-source data unification with AI on top.
Enterprise Financial Systems
Helped SMBC build their first Digital Banking Unit. Understand how institutional clients evaluate, buy, and trust new technology. Know the compliance, security, and procurement cycles.
Enterprise Financial Systems
Helped SMBC build their first Digital Banking Unit. Understand how institutional clients evaluate, buy, and trust new technology. Know the compliance, security, and procurement cycles.
Data Security & Org Ops
I’ve handled sensitive financial data across institutions: encrypted, proprietary, and operationally critical. I know how teams actually operate, and how to layer AI into existing workflows without forcing organizations to flip overnight.
Data Security & Org Ops
I’ve handled sensitive financial data across institutions: encrypted, proprietary, and operationally critical. I know how teams actually operate, and how to layer AI into existing workflows without forcing organizations to flip overnight.
Builder DNA
Every role has been 0→1 platform builds inside complex organizations. Left corporate to build the solution I wished existed at every prior employer — now with AI capable enough to make it real.
Builder DNA
Every role has been 0→1 platform builds inside complex organizations. Left corporate to build the solution I wished existed at every prior employer — now with AI capable enough to make it real.
Why Not
Why Not
Risks I'm Thinking About
Risks I'm Thinking About
You're going to ask these questions. Let me address them head-on.
You're going to ask these questions. Let me address them head-on.
“AI is commoditizing fast. What's your moat?”
Context Graphs are our moat. Generic AI can't understand deal relationships without fund-specific knowledge graphs. We're building the data layer, not just the AI layer.
“AI is commoditizing fast. What's your moat?”
Context Graphs are our moat. Generic AI can't understand deal relationships without fund-specific knowledge graphs. We're building the data layer, not just the AI layer.
“What about data security and integration complexity?”
Deployment model is client-driven: VPC/on-prem when required, or managed cloud when preferred. Either way, enterprise-grade access controls, encryption, and audit trails are standard.
“What about data security and integration complexity?”
Deployment model is client-driven: VPC/on-prem when required, or managed cloud when preferred. Either way, enterprise-grade access controls, encryption, and audit trails are standard.
“What about the incumbents (Yardi, MRI)?”
They may create their own AI, but that's no competition to us. We intertwine all the systems a fund uses — and that's fundamentally out of scope for incumbents. At worst, they'll create an MCP that helps REMI.
“What about the incumbents (Yardi, MRI)?”
They may create their own AI, but that's no competition to us. We intertwine all the systems a fund uses — and that's fundamentally out of scope for incumbents. At worst, they'll create an MCP that helps REMI.
“Single founder risk?”
There is too much leverage with tools like Clawdbot, Claude, and Cursor to rush this decision. I’m technical, and my door-to-door sales background gives early GTM coverage. I’m intentionally selective about a long-term co-founder fit.
“Single founder risk?”
There is too much leverage with tools like Clawdbot, Claude, and Cursor to rush this decision. I’m technical, and my door-to-door sales background gives early GTM coverage. I’m intentionally selective about a long-term co-founder fit.
“How will you access data from legacy systems?”
Many legacy platforms were built as systems of record, not systems of understanding. REMI sits above them — ingesting outputs, context, and decisions to power faster analysis without disrupting existing infrastructure.
“How will you access data from legacy systems?”
Many legacy platforms were built as systems of record, not systems of understanding. REMI sits above them — ingesting outputs, context, and decisions to power faster analysis without disrupting existing infrastructure.
VS Generalist AI
VS Generalist AI
Claude is Stateless. REMI Has Memory.
Claude is Stateless. REMI Has Memory.
General AI is powerful infrastructure. But institutional RE needs a memory layer that compounds with each deal, not a blank slate every session.
General AI is powerful infrastructure. But institutional RE needs a memory layer that compounds with each deal, not a blank slate every session.
Dimension
Generalist AI
REMI
Memory
Session ends, context resets.
Persistent Context Graph compounds each deal cycle.
Workflow
Prompt-by-prompt, analyst-driven.
Pre-wired RE pipeline with human checkpoints.
Output Quality
Generic answer quality.
Firm-specific outputs with citations and rationale.
Learning
No institutional feedback memory.
Recursive learning from decisions and outcomes.
Dimension
Generalist AI
REMI
Memory
Session ends, context resets.
Persistent Context Graph compounds each deal cycle.
Workflow
Prompt-by-prompt, analyst-driven.
Pre-wired RE pipeline with human checkpoints.
Output Quality
Generic answer quality.
Firm-specific outputs with citations and rationale.
Learning
No institutional feedback memory.
Recursive learning from decisions and outcomes.
We use Claude/GPT as core model infrastructure. The Context Graph is the product moat that turns general models into institutional RE intelligence.
We use Claude/GPT as core model infrastructure. The Context Graph is the product moat that turns general models into institutional RE intelligence.
REMI is not “Autopilot” — it's “Co-Pilot” with a black box recorder. We prioritize transparency over autonomy. Every output is cited, every action is logged, every decision is yours.
REMI is not “Autopilot” — it's “Co-Pilot” with a black box recorder. We prioritize transparency over autonomy. Every output is cited, every action is logged, every decision is yours.
Let's build the Intelligence Layer together.
Let's build the Intelligence Layer together.
Current Status — Phase 0
Current Status — Phase 0
Pre-Seed Round
$1.2M – $1.5M
Open to SAFE or priced round
Targeting 18-month runway
Pre-Seed Round
$1.2M – $1.5M
Open to SAFE or priced round
Targeting 18-month runway
Additional Materials
Additional Materials
Appendix
Appendix
Deep dives on business model, technical architecture, competitive landscape, and risk analysis.
Deep dives on business model, technical architecture, competitive landscape, and risk analysis.
Competitive Landscape
Competitive Landscape
The Market is Ripe for Disruption
The Market is Ripe for Disruption
Yardi makes $1.6B/year on 40-year-old architecture. Point solutions lack context. General AI lacks firm memory. REMI is built AI-first.
Yardi makes $1.6B/year on 40-year-old architecture. Point solutions lack context. General AI lacks firm memory. REMI is built AI-first.
Yardi / MRI
Legacy ERP
+ Strength
Market leader, $1.6B revenue, 20K customers
- Weakness
40-year-old architecture, AI bolted on
Yardi / MRI
Legacy ERP
+ Strength
Market leader, $1.6B revenue, 20K customers
- Weakness
40-year-old architecture, AI bolted on
VTS / Dealpath
Point Solution
+ Strength
Modern UX, strong in niche
- Weakness
Single workflow, no context
VTS / Dealpath
Point Solution
+ Strength
Modern UX, strong in niche
- Weakness
Single workflow, no context
ChatGPT / Claude
General AI
+ Strength
Powerful, accessible
- Weakness
No firm memory, no integration
ChatGPT / Claude
General AI
+ Strength
Powerful, accessible
- Weakness
No firm memory, no integration
REMI
AI-Native Platform
+ Strength
Context Graph, autonomous agents
- Weakness
Early stage, unproven at scale
REMI
AI-Native Platform
+ Strength
Context Graph, autonomous agents
- Weakness
Early stage, unproven at scale
Business Model
Business Model
Intelligence-as-a-Service Pricing
Intelligence-as-a-Service Pricing
Platform fee based on fund size + metered agent usage. Revenue scales with client success — more deals = more value = higher contracts.
Platform fee based on fund size + metered agent usage. Revenue scales with client success — more deals = more value = higher contracts.
Platform Fee (Annual)
Includes: Context Graph, integrations, firm knowledge base, security infrastructure
Agent Usage (Per Deliverable)
Platform Fee (Annual)
Includes: Context Graph, integrations, firm knowledge base, security infrastructure
Agent Usage (Per Deliverable)
Unit Economics
Target ACV
$100K
Blended average
LTV:CAC
10:1
Industry avg: 3:1
NRR Target
130%
Usage expands
Payback
3 mo
vs 12mo industry
💡 Perfectly aligned incentives: more deals processed = more value delivered = higher contract value.
Unit Economics
Target ACV
$100K
Blended average
LTV:CAC
10:1
Industry avg: 3:1
NRR Target
130%
Usage expands
Payback
3 mo
vs 12mo industry
💡 Perfectly aligned incentives: more deals processed = more value delivered = higher contract value.
Technical Architecture
Technical Architecture
Context Graph + Multi-Agent Intelligence
Context Graph + Multi-Agent Intelligence
Every piece of information connects to every other. Agents don't just process — they understand context and learn continuously.
Every piece of information connects to every other. Agents don't just process — they understand context and learn continuously.
Intelligence Layer
- →Context Graph (Neo4j)
- →Recursive Learning Engine
- →Multi-Agent Orchestration
Intelligence Layer
- →Context Graph (Neo4j)
- →Recursive Learning Engine
- →Multi-Agent Orchestration
Processing Layer
- →Document AI (Vision + OCR)
- →LLM Pipeline (Claude/GPT)
- →Vector Embeddings (Pinecone)
Processing Layer
- →Document AI (Vision + OCR)
- →LLM Pipeline (Claude/GPT)
- →Vector Embeddings (Pinecone)
Data Layer
- →Time-Series Store
- →Document Lake (S3)
- →Firm Knowledge Base
Data Layer
- →Time-Series Store
- →Document Lake (S3)
- →Firm Knowledge Base
Integration Layer
- →Email APIs
- →CRM Connectors
- →Market Data Feeds
Integration Layer
- →Email APIs
- →CRM Connectors
- →Market Data Feeds
🔮 Moat: The Context Graph becomes exponentially more valuable with each deal processed. Competitors can copy features — they can't copy your firm's accumulated intelligence.
🔮 Moat: The Context Graph becomes exponentially more valuable with each deal processed. Competitors can copy features — they can't copy your firm's accumulated intelligence.
Go-To-Market
Go-To-Market
Bottoms-Up, Then Enterprise
Bottoms-Up, Then Enterprise
Start with analysts and associates. Once they can't live without REMI, partners will notice.
Start with analysts and associates. Once they can't live without REMI, partners will notice.
Phase 1: Design Partners
Now → Month 6- 3-5 mid-market RE firms
- Free pilots, high-touch onboarding
- Build case studies + testimonials
Target
Target: first 5 LOIs
Phase 1: Design Partners
Now → Month 6- 3-5 mid-market RE firms
- Free pilots, high-touch onboarding
- Build case studies + testimonials
Target
Target: first 5 LOIs
Phase 2: Early Revenue
Month 6 → Month 12- Convert pilots to paid
- Content marketing + thought leadership
- Referral program launch
Target
$300K ARR
Phase 2: Early Revenue
Month 6 → Month 12- Convert pilots to paid
- Content marketing + thought leadership
- Referral program launch
Target
$300K ARR
Phase 3: Scale
Month 12 → Month 24- Inside sales team (2-3)
- Enterprise tier launch
- Channel partnerships
Target
$2M ARR
Phase 3: Scale
Month 12 → Month 24- Inside sales team (2-3)
- Enterprise tier launch
- Channel partnerships
Target
$2M ARR
40%
Content & SEO
Thought leadership, case studies
30%
Direct Outbound
Targeted firm outreach
20%
Partnerships
Accountants, consultants
10%
Events & Conferences
RE industry events
40%
Content & SEO
Thought leadership, case studies
30%
Direct Outbound
Targeted firm outreach
20%
Partnerships
Accountants, consultants
10%
Events & Conferences
RE industry events
Adoption Strategy
Adoption Strategy
Zero-Risk Adoption - Meet Firms Where They Are
Zero-Risk Adoption - Meet Firms Where They Are
For The Analyst
Career Protection
REMI catches what you might miss. You approve everything. You stay the hero, not the system.
For The Analyst
Career Protection
REMI catches what you might miss. You approve everything. You stay the hero, not the system.
For The Principal
Institutional Memory
Never lose firm knowledge when people leave. Preserve the why behind every decision.
For The Principal
Institutional Memory
Never lose firm knowledge when people leave. Preserve the why behind every decision.
For Operations
Zero-Risk Entry
REMI watches, learns, and waits. Nothing changes until your team is ready.
For Operations
Zero-Risk Entry
REMI watches, learns, and waits. Nothing changes until your team is ready.
Read-only integrations first - REMI observes, does not write
Read-only integrations first - REMI observes, does not write
Shadow mode - See what REMI would have caught, risk-free
Shadow mode - See what REMI would have caught, risk-free
Graceful exit - If REMI disappears, nothing breaks
Graceful exit - If REMI disappears, nothing breaks
Human approves everything - Always
Human approves everything - Always
The question is not "Will this replace my team?" It is "What am I missing right now that REMI would catch?"
The question is not "Will this replace my team?" It is "What am I missing right now that REMI would catch?"
Pilot Structure
Pilot Structure
90-Day Proof of Value - No Contract Required
90-Day Proof of Value - No Contract Required
Start risk-free, demonstrate value in production conditions, then scale with confidence.
Start risk-free, demonstrate value in production conditions, then scale with confidence.
Week 1-2
Connect
Read-only integrations for email, Yardi, and shared drives.
Outcome: No workflow disruption
Week 1-2
Connect
Read-only integrations for email, Yardi, and shared drives.
Outcome: No workflow disruption
Week 3-4
Shadow
REMI runs silently and shows what it would have flagged earlier.
Outcome: Proof before trust
Week 3-4
Shadow
REMI runs silently and shows what it would have flagged earlier.
Outcome: Proof before trust
Week 5-8
Activate
Analysts use REMI drafts for IC memos with full human approval.
Outcome: Before vs after gains
Week 5-8
Activate
Analysts use REMI drafts for IC memos with full human approval.
Outcome: Before vs after gains
Week 9-12
Prove
Review throughput, quality, and decision speed metrics together.
Outcome: Conversion decision
Week 9-12
Prove
Review throughput, quality, and decision speed metrics together.
Outcome: Conversion decision
If it works, they do not turn it off. If it does not, we learn why and improve the system. Either outcome compounds value.
If it works, they do not turn it off. If it does not, we learn why and improve the system. Either outcome compounds value.
Product Roadmap
Product Roadmap
18-Month Vision: From MVP to Market Leader
18-Month Vision: From MVP to Market Leader
Laser-focused on deal sourcing for mid-market RE, then expand to full investment lifecycle and adjacent verticals.
Laser-focused on deal sourcing for mid-market RE, then expand to full investment lifecycle and adjacent verticals.
Foundation
- →Core Context Graph architecture
- →Email + PDF ingestion pipeline
- →Deal screening agent v1
- →Design partner pilots (3-5 firms)
Foundation
- →Core Context Graph architecture
- →Email + PDF ingestion pipeline
- →Deal screening agent v1
- →Design partner pilots (3-5 firms)
Intelligence
- →Recursive learning engine
- →Multi-agent orchestration
- →IC memo generation
- →First paying customers
Intelligence
- →Recursive learning engine
- →Multi-agent orchestration
- →IC memo generation
- →First paying customers
Scale
- →Asset management agents
- →Portfolio analytics dashboard
- →CRM/ERP integrations
- →Enterprise security (SOC 2 readiness)
Scale
- →Asset management agents
- →Portfolio analytics dashboard
- →CRM/ERP integrations
- →Enterprise security (SOC 2 readiness)
Expansion
- →Private credit vertical
- →LP reporting automation
- →White-label platform
- →Series A readiness
Expansion
- →Private credit vertical
- →LP reporting automation
- →White-label platform
- →Series A readiness
Key Metric: $2M ARR by Month 24 with 20+ mid-market RE firms
Key Metric: $2M ARR by Month 24 with 20+ mid-market RE firms
Risk Analysis
Risk Analysis
Eyes Wide Open: Risks & Mitigations
Eyes Wide Open: Risks & Mitigations
Every startup has risks. Here's how I'm thinking about ours — and what I'm doing about them.
Every startup has risks. Here's how I'm thinking about ours — and what I'm doing about them.
AI Commoditization
MediumLLMs become commodity; features get copied quickly
Context Graph is the moat — it compounds from your firm's approvals, overrides, and outcomes. Competitors can copy features, not accumulated intelligence.
✓ Action: Building proprietary data flywheel from day one
AI Commoditization
MediumLLMs become commodity; features get copied quickly
Context Graph is the moat — it compounds from your firm's approvals, overrides, and outcomes. Competitors can copy features, not accumulated intelligence.
✓ Action: Building proprietary data flywheel from day one
Data Security Concerns
HighRE firms are paranoid about data leaving their walls
SOC 2 Type II certification on roadmap. Enterprise deployment options (VPC, on-prem). Zero data sharing between firms. Enterprise-grade encryption.
✓ Action: Security audit Q3 2026; compliance certifications Q1 2027
Data Security Concerns
HighRE firms are paranoid about data leaving their walls
SOC 2 Type II certification on roadmap. Enterprise deployment options (VPC, on-prem). Zero data sharing between firms. Enterprise-grade encryption.
✓ Action: Security audit Q3 2026; compliance certifications Q1 2027
Incumbent Response
MediumYardi/MRI bolt on AI features
Incumbents are burdened by technical debt. Their AI is a feature; ours is the architecture. They optimize existing workflows; we reimagine them.
✓ Action: Move fast, lock in design partners before incumbents react
Incumbent Response
MediumYardi/MRI bolt on AI features
Incumbents are burdened by technical debt. Their AI is a feature; ours is the architecture. They optimize existing workflows; we reimagine them.
✓ Action: Move fast, lock in design partners before incumbents react
Sales Cycle Length
MediumEnterprise RE sales can take 6-12 months
Bottoms-up adoption: analysts love REMI, push it up. Free pilots reduce friction. Focus on pain that costs money TODAY.
✓ Action: Design partner model validates demand before scaling sales
Sales Cycle Length
MediumEnterprise RE sales can take 6-12 months
Bottoms-up adoption: analysts love REMI, push it up. Free pilots reduce friction. Focus on pain that costs money TODAY.
✓ Action: Design partner model validates demand before scaling sales
Founder's Thoughts
Founder's Thoughts
AI speed is the novelty. Context is the moat.
AI speed is the novelty. Context is the moat.
February 2026 feels like peak wow-factor for AI. That phase will fade. AI in spreadsheets and workflows will become table stakes, and firms that do not adopt will look ancient to the next generation of operators.
February 2026 feels like peak wow-factor for AI. That phase will fade. AI in spreadsheets and workflows will become table stakes, and firms that do not adopt will look ancient to the next generation of operators.
Three lines to remember
1) Automation without citations kills trust.
2) Context is alpha: data + decision history + operator feedback.
3) The end state is better reviewed decisions, not zero human decisions.
Three lines to remember
1) Automation without citations kills trust.
2) Context is alpha: data + decision history + operator feedback.
3) The end state is better reviewed decisions, not zero human decisions.