# Lumigo Financial Model

Agentless, no-code cloud native observability platform (monitoring + debugging) for serverless and containerised applications.

- Canonical: https://finamodel.com/startups/lumigo
- Excel download: https://finamodel.com/startup-models/lumigo.xlsx
- Category: Dev Tools
- Model type: SaaS ARR / Valuation
- Funding round: Series A
- Funding: $29M
- Founded: 2022
- Geography: Tel Aviv HQ; cloud-native developer market (global, AWS-centric).
- Customer: B2B

## About the company

Lumigo provides agentless, no-code observability for cloud-native applications. It combines monitoring and debugging with automated distributed tracing across Lambda, SQS, S3, Fargate, Stripe, Snowflake, and other managed services, aiming to reduce incident response by 95% and repair time by 90%.

The company uses freemium, pay-as-you-grow SaaS with self-serve procurement and cloud-marketplace distribution. Customers can start with a proof of concept, expand from one to multiple projects, and then scale monitored request volume. Pricing appears tied to requests or invocations, although the deck gives no unit rate.

Lumigo reported about 80% quarterly ARR growth. One customer expanded ARR roughly tenfold in 12 months, moving from one to four projects and 75 million to one billion requests. The model should forecast requests, paid conversion, project expansion, cloud cost, retention, and sales efficiency.

## What's included

- 5-year monthly revenue build with stage-appropriate growth assumptions
- Full P&L, headcount plan, and operating-expense schedule
- Cash-flow statement, runway, and burn-rate tracking
- Valuation via exit multiple with a DCF cross-check
- Returns analysis with MOIC and IRR
- Unit economics including CAC, LTV, payback, and cohort retention

## Product & value proposition

- 1-click, agentless, no-code, zero-deployment observability for cloud native applications.
- Two core capabilities on one platform: Monitoring (visibility + alerts, -95% incident response time) and Debugging (solve issues in minutes, -90% repair time).
- 100% automated distributed tracing across managed services (Lambda, SQS, S3, Fargate, Stripe, Snowflake, etc.).
- Unified Dev + Ops workflow in one tool - "built for modern developers, by developers".
- Key differentiator vs. legacy APM (New Relic, Datadog): agentless, no instrumentation, no deployment overhead; purpose-built for Cloud Native / XaaS architecture.

## Market

- TAM projected at $21.9B by 2025 (Valuates Reports; cloud native observability/monitoring).
- Enterprises spend ~10% of cloud budget on monitoring (Valuates Reports).
- 65% of Cloud Native developers cite monitoring and debugging as their biggest challenges.
- 50% of AWS users had adopted Serverless by dawn of 2020 (Datadog).
- 206% increase in serverless invocations in last 12 months (New Relic).

## Revenue model

- Freemium / usage-based SaaS: "Pay as you grow", self-serve, no credit card required for free tier.
- Self-procurement via cloud provider marketplace (implies AWS Marketplace listing).
- Land-and-expand motion: start at PoC → single project → multi-project horizontal expansion → vertical volume growth (usage scale).
- Pricing unit: likely tied to number of requests/invocations monitored (customer grew from 75M to 1B requests), but explicit per-unit price not disclosed in deck.
- Channel: 100% self-serve; content/community marketing (developer thought leaders / Serverless Heroes).

## Traction & metrics

- ~80% quarterly ARR growth.
- Case study customer: ~10x ARR growth in 12 months (2019 PoC → Mar 2021).
  - Sales cycle for that customer: 2 months.
  - PoC duration: 4 weeks.
  - Horizontal expansion: 1 project → 4 projects.
  - Vertical expansion: 75M → 1B requests.
- MRR/MRR chart axes: Redacted.

## Unit economics

- NRR / net expansion: Implied strong (10x ARR per customer in 12 months); no explicit NRR % stated.

## Competition / moat

- Competitive set (from slide 15 quadrant - partially redacted): positions Lumigo as "Cloud Native + Agentless" vs. legacy players in "Server + Agent" quadrant; New Relic and Datadog referenced as incumbents that are not purpose-built for cloud native.
- Moat claims: agentless architecture (no deployment friction), automated tracing (no manual instrumentation), 1-click onboarding, purpose-built data model for XaaS topology.
- Founders: ex-Check Point security engineers; Linux Kernel / IDF elite tech unit backgrounds; deep systems expertise.

## Team & funding ask / use of funds

- CEO & Co-founder: Erez Berkner - BSc CS (cum laude, during high school), IDF elite tech, Linux Kernel Dev, Check Point Director of Cloud Security Products (2015–2018).
- CTO & Co-founder: Aviad Mor - IDF intelligence unit, BSc CS cum laude, Linux Kernel Dev, Check Point NextGen research group founder (1998–2018).
- Founded: 2018, Tel Aviv.
- Ask: Series A Investment.
- Use of proceeds:
  1. Maintain cloud native superiority (R&D / product).
  2. Build Sales and Marketing operations.
  3. Continue expanding product.

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## Recommended financial model

- **Archetype + why:** SaaS ARR model with usage-based expansion layer. Lumigo is a PLG freemium SaaS with a clear land-and-expand motion driven by request volume. The primary top-line metric is ARR; expansion is driven by usage (requests/invocations) and project count per account. A standard SaaS ARR waterfall (new ARR, expansion ARR, churn) with a usage-multiplier on expansion best fits the motion shown.

- **Forecast horizon & granularity:** Quarterly for Year 1 (Q1–Q4); annual for Years 2–3. Current deck appears to be ~Q2 2021 vintage; model from Q2 2021 through FY2024.

- **Key drivers & assumptions:**

| Driver | Value |
| -- | -- |
| Starting ARR | Unknown - redacted |
| Quarterly ARR growth rate | ~80% QoQ (as stated) |
| Free-to-paid conversion rate | 5–10% of free signups |
| Average initial ACV (new logo) | $10K–$30K |
| Net Revenue Retention (NRR) | 130–150% |
| Expansion driver: projects per account | 1 → 4 over 12 months |
| Expansion driver: request volume | 75M → 1B (13x) over ~12 months |
| Sales cycle (enterprise/mid-market) | 2 months |
| Gross margin | 70–75% |
| S&M % of revenue (post-Series A) | 40–50% |
| R&D % of revenue | 30–40% |
| G&A % of revenue | 10–15% |
| Headcount - engineering (current) | ~10–20 FTE |
| AWS Marketplace take rate | 3% |

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - **Bull:** QoQ ARR growth stays at 80%; NRR 150%; ACV reaches $40K; Sales & Marketing investment drives faster new logo acquisition.
  - **Base:** QoQ ARR growth decelerates to 40–50% by Year 2; NRR 130%; ACV $20K; PLG funnel matures.
  - **Bear:** Growth decelerates sharply to 20% QoQ; incumbents (Datadog, New Relic) ship native cloud-native features; NRR 110%; longer sales cycles.
  - **Flex variables:** new logo growth rate, NRR/expansion multiplier, ACV, gross margin (infra cost at scale).

- **Required sheets / outputs:**
  1. **Assumptions** - all drivers in one place, colour-coded inputs.
  2. **ARR Waterfall** - new ARR, expansion ARR, churned ARR, net new ARR, ending ARR by quarter.
  3. **Customer Cohort Model** - cohorts by quarter; project count and request volume expansion curves per cohort.
  4. **P&L (Income Statement)** - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA, Net Income.
  5. **Headcount Plan** - by function (Eng, S&M, G&A); feeds into opex.
  6. **Cash / Runway** - burn rate, Series A proceed scenarios, months of runway.
  7. **KPI Dashboard** - ARR, MRR, QoQ growth, NRR, CAC payback (once inputs confirmed), gross margin.
  8. **Scenarios tab** - Base / Bull / Bear toggle.

## Frequently asked questions

### Is the Lumigo financial model free?

Yes. The Lumigo model is a free Excel download with live formulas.

### Can I change the assumptions?

Yes. The workbook is editable and its live formulas recalculate when assumptions change.