Northspyre Financial Model
PropTech Startup Financials (Free Excel Download)
AI-powered operating system for real estate development project management and capital deployment, replacing Excel-based workflows.
professionals from Deloitte
Used by professionals from
About this model
Northspyre is an AI-powered operating system for real-estate development project management and capital deployment. It replaces Excel-based workflows for budgets, forecasting, and project control, giving developers a dedicated platform for managing complex development programmes.
The company was raising $25 million in a Series B to support US growth and planned international expansion. Its customers are real-estate developers, so project count and implementation depth can support expansion, but subscription ARR remains the primary commercial outcome.
The model forecasts developer clients, projects, initial ACV, implementation, module adoption, expansion, renewal, and churn. Data-platform costs, sales capacity, customer success, R&D, gross margin, and operating expenses determine the capital required to scale.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Northspyre
northspyre.com
How to build a detailed financial model for Northspyre
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Northspyre model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Platform positioned as the "operating system for real estate development and capital deployment"
- Target customers each allocate $5M to $2B in capital annually
- Core workflow: captures incoming financial docs from email (invoices, contracts) via automation; eliminates manual data entry
- Three product pillars:
- Productivity / automation - email-based doc capture, eliminates data entry
- Proactive insights - AI pattern-matches project data to surface challenges and opportunities
- Critical reporting - auto-benchmarks, search-indexes, and reports across projects
- Key differentiator claimed: first platform purpose-built for real estate developers that combines automation, data analytics, and AI
- Value prop headline: customers can reduce cost overruns 21–66%; on a typical $100M project, saves $2–6M
- Dashboard shows per-project metrics: approved budget, total invoiced to date, contingency remaining, percent completion
- Named clients include MoMA, Denham Wolf Real Estate Services, ASH Development
Market
- Annual spend on real estate development: $2T in the United States
- Annual spend on real estate development: $10T globally
- ~15,000 real estate development companies in the US alone
- >75% of real estate projects finish over-budget
- No SAM, SOM, or software market sizing figures provided in deck.
- No market growth rate cited in deck.
Revenue model
- SaaS subscription model implied by ARR metric and NRR disclosure
- Pricing basis: not explicitly stated in deck. Customer scale ($5M–$2B annual capital deployed) suggests ACV varies significantly by customer size
- Channel: direct sales (Head of Sales named; construction finance background)
- One-time implementation fees mentioned separately from recurring revenue ("excluding one-time costs such as implementation fees")
- No per-seat, per-project, or % AUM pricing model explicitly disclosed in deck
Traction & metrics
All figures from slide 8 (Financials) unless noted.
| Metric | Value | Source |
|---|---|---|
| ARR growth since 2020 Series A | 6x | - |
| Gross margin (excl. one-time implementation costs) | 91% | - |
| Net Revenue Retention | 130% | - |
| Customer count | 130+ across the US | - |
| Cash conversion score | $1.61 ARR per $1 investor capital deployed | - |
| Total funding raised to date | $34.3M | - |
Note: No absolute ARR dollar figure is disclosed in the deck. Growth is relative (6x vs. Series A baseline).
Unit economics
- Gross margin: 91% (excluding one-time implementation costs)
- Net Revenue Retention: 130% - implies strong expansion revenue from existing customers
- Cash conversion score: $1.61 ARR per $1 investor capital deployed
- Churn: Not explicitly stated (inferred <30% gross churn from 130% NRR, but no deck data)
Competition / moat
- Problem framing: existing solutions focus on document and task management, not financial drivers
- Moat claims: (1) first purpose-built platform for RE developers, (2) data network effect via benchmarking across 15,000+ fragmented companies
- No named competitors in deck
- Switching cost implied by testimonials: customers describe replacing entrenched Excel workflows
Team & funding ask / use of funds
Leadership Team:
- William Sankey - CEO + Head of Product; Yale BA, Harvard Masters; former JLL (Jones Lang LaSalle)
- Andrew Tam - CTO; B.S. + Masters University of Pennsylvania; former Sr. Software Engineer at Sailthru
- Matthew Phinney - Chief Architect; Oxford + Cambridge Masters; former Staff Software Engineer at Ripple
- Neil Griffin - Head of Sales; UT Austin; former construction management firm + bank construction finance
Financing History: | Round | Amount | Key Investors | | -- | -- | -- | | F&F + Founder Savings | $57K | - | | Pre-Seed | $275K | Tamarisc Ventures, Angel investors | | Seed | $1.45M | Tamarisc Ventures | | Series A (2020) | $7.5M | Craft Ventures, David Sacks [PayPal], Jeff Fluhr [StubHub], Tamarisc Ventures | | Series B (this raise) | $25M | CRV, Craft Ventures, Tamarisc Ventures, Des Traynor [Intercom] | | Total raised to date | $34.3M | - |
Use of Series B funds:
- Launch new products
- Scale GTM in US and internationally
- Advance core product roadmap
Recommended financial model
Archetype + why: SaaS ARR model with cohort-based NRR expansion. The 130% NRR is the central financial engine - the model must capture gross new ARR, expansion ARR from existing customers, and churn separately. Pure ARR build-up is appropriate given the subscription revenue structure and the dominance of NRR as the key metric cited.
Forecast horizon & granularity:
- 3 years monthly (Year 1–2) then annual (Year 3)
- Post-Series B deployment horizon; management team likely planning to Series C in 18–24 months
Key drivers & assumptions:
| Driver | Value / Assumption |
|---|---|
| ARR implied at time of deck | ~6x Series A ARR |
| Customer count | 130+ |
| Implied average ARR per customer | Unknown - no deck data |
| Gross margin | 91% (ex-implementation) |
| Implementation fees (one-time) | Excluded from GM calc; ~10–20% of first-year ACV for new logos |
| Net Revenue Retention | 130% |
| Gross churn (logo) | ~10–15% annually |
| New customer adds per quarter | Start ~10–15/qtr, growing with GTM headcount |
| Average ACV (new customer) | $30K–$80K blended |
| Sales headcount growth | 2–3x SDR/AE team post-Series B |
| R&D / engineering headcount | 30–40% of opex |
| G&A | 10–15% of revenue |
| Sales efficiency / Magic Number | 0.8–1.2 |
| International revenue | <5% in Year 1 post-B, growing to 15–20% by Year 3 |
| TAM penetration (US) | ~0.9% of 15,000 companies at 130+ customers |
Scenarios (Base / Bull / Bear - which variables flex):
- Base: NRR holds at 130%, new logo adds ~10–12/quarter, ACV $50K blended
- Bull: NRR expands to 140%+ (more enterprise upsell), new logo acceleration post-GTM scale, international contributes in Year 2
- Bear: NRR compresses to 110–115% (market slowdown in RE development), new logo adds slow to 6–8/quarter, implementation margin drag higher
Required sheets / outputs:
- ARR Bridge - new ARR, expansion ARR, churn ARR, ending ARR by period
- Customer cohort table - new logos per cohort, NRR by year, cumulative ARR per cohort
- P&L - revenue (recurring + one-time implementation), COGS (hosting, CS), gross profit, OpEx by function (S&M, R&D, G&A), EBITDA
- Headcount plan - by function, linked to opex
- Cash / runway - cash burn, ending cash, months of runway post-Series B
- KPI dashboard - ARR, ARR growth %, NRR, gross margin, logo count, CAC payback (once disclosed)
- Sensitivity table - NRR × new logo adds → ending ARR Year 3
Frequently asked
Is the Northspyre financial model free?+
Yes. The Northspyre model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Northspyre's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.
Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.
I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.
Having a template library on hand cuts a first build from hours to minutes.
Need help finding your model? You’ll find me in the Finamodel app!
Other PropTech Startup Financial Models
Browse another startup in the same category.
Agora
Agora automates operations for real estate investment firms - investment accounting, fundraising, CRM, investor reporting, portal, and data room in one platform.
Briq
SaaS platform that automates money workflow management (budgeting, forecasting, cash flow, WIP) for construction companies.
Canary Technologies
B2B SaaS platform providing guest management and digital operations software to hotels
Geodesic.Life
Sustainable prefabricated geodesic dome houses for rural development, sold as a design + prefab kit + consultancy bundle to real estate partners.
Huboo
Full-stack, software-driven e-commerce fulfilment network built on a micro-warehousing model, targeting SME merchants across UK and Europe.
Immo
Tech-enabled iBuyer that acquires single-unit/single-family residential properties directly from homeowners, renovates and rents them under the IMMO Homes brand, and aggregates the portfolios into institutional investment products.
Kasa Living
Tech-enabled hospitality operator that manages furnished apartments and hotel units on behalf of property owners, capturing a share of room revenue without owning real estate.
Latch (Door.com)
Latch is an enterprise proptech company selling LatchOS, a full-building smart-access and SaaS operating system for multifamily residential buildings, going public via SPAC merger with TS Innovation Acquisitions Corp. (TSIA).
