An investment thesis · 2000 → 2026

Every Tech Era Runs the Same Four-Wave Play.
We're in Wave 3 of AI — and Wave 4 is where the next $100B gets built.

Three decades of Digital Transformation and DevOps prove the pattern: infra → tooling → point solutions → control layer. Here's the map of where AI capital should go next.
Pattern thesis: Every transformation era follows the same four-wave arc — infra enabler → tooling middleware → point solution explosion → control-layer consolidation. The biggest exits cluster in waves 1 and 4. Wave 3 sub-categories reveal the pattern most clearly: point solutions that own their data moat survive; those that sit on top of someone else's data get absorbed. We are in wave 3 of the AI era. Wave 4 is wide open.
Wave 1
Infra Enabler
Wave 2
Tooling & Middleware
Wave 3 · we are here
Point Solution Explosion
Wave 4 · open
Control-Layer Consolidation
Digital Transformation
~2000 – 2014
DevOps
~2010 – 2022
AI-Native
2022 – present
Wave 1 Infra enablers
AWS Heroku acq $212M Twilio IPO SendGrid acq $3B Cloudflare IPO
Cloud primitives and communication APIs. Companies could build without owning hardware. The land grab for developer trust begins.
↳ Payments infra
Stripe $50B val Braintree acq $800M Adyen IPO
The wave 1 sub-category that didn't get absorbed — Stripe built deep enough to become infrastructure itself. Lesson: own the data, not just the API.
→ Became standalone infra
↳ Identity & access
Okta IPO $25B peak Auth0 acq $6.5B OneLogin
Identity became mandatory compliance infrastructure. Okta won by being the neutral party — not owned by any cloud.
→ Became standalone infra
GitHub acq $7.5B Docker raised $340M HashiCorp acq $6.4B Puppet Chef
Source control, containers, config management. Dev and Ops still separate but the primitives for collapsing that wall are being laid.
↳ Secrets & config
Vault (HashiCorp) acq $6.4B 1Password $6.8B val Doppler
Secrets sprawled across .env files and CI configs. Vault became the standard. Doppler the dev-friendly layer on top.
Mistral $1B+ Cohere $445M xAI $50B val AI21 Labs Inflection acq Microsoft
Foundation model labs and inference providers. Raw capability layer. VC massively over-rotated here — most capital went to wave 1.
↳ Video & multimodal
Runway $1.5B val Stability AI Pika ElevenLabs $3.3B val
Foundation models for non-text modalities — video, image, audio, voice. Still early; no clear Stripe-equivalent has emerged yet.
→ Still fragmented
Wave 2 Tooling + middleware
MuleSoft acq $6.5B Segment acq $3.2B Apigee acq $625M Boomi acq $4B
Integration, API gateways, customer data pipelines. Legacy systems needed to talk to new SaaS. Boring infrastructure, enormous outcomes.
↳ CMS & content infra
Contentful $3B val Contentstack Sanity
Headless CMS decoupled content from presentation. Became foundational middleware for every marketing and ecommerce stack.
↳ eCommerce infra
Shopify IPO $200B peak BigCommerce IPO
Shopify won by becoming the operating system for commerce — not just a tool but a platform with its own ecosystem. The wave 2 company that ate wave 3.
→ Platform winner
CircleCI raised $315M Harness raised $425M JFrog IPO $4B Snyk $8.6B val
CI/CD, artifact management, security scanning. The pipeline became code. Deployments became reproducible. The build became observable.
↳ API management
Kong raised $200M Postman $5.6B val Stoplight Apigee → Google
APIs multiplied faster than teams could manage them. Gateway, testing, and documentation became separate tool categories — then started collapsing back together.
↳ Testing & quality
Cypress raised $65M BrowserStack $4B val Sauce Labs Mabl
Test automation lagged CI/CD adoption by years. Every team had a different framework. Consolidation is still incomplete.
LangChain raised $25M LlamaIndex Pinecone raised $138M Modal raised $67M Replicate
Orchestration, vector stores, inference infra. Developers needed ways to chain calls, store context, and run models at scale.
↳ GPU & compute infra
CoreWeave IPO $23B Lambda Labs raised $320M Vast.ai Crusoe raised $686M
GPU scarcity created a picks-and-shovels moment. CoreWeave's IPO is the wave 2 bellwether — same pattern as Rackspace in digital transformation.
→ Biggest wave 2 exit so far
↳ Evaluation & fine-tuning
Scale AI $13.8B val Braintrust raised $36M Patronus AI Promptfoo
Training data quality and model evaluation became the hidden bottleneck. Scale AI is the Segment of this era — owns the data pipeline before the model.
Wave 3 Point solutions
HubSpot IPO Zendesk IPO Dropbox IPO Veeva IPO $12B Slack acq $27B
Best-of-breed SaaS per function. Companies assembled 30–50 tool stacks. Integration debt compounded fast.
↳ Marketing automation
Marketo acq $4.75B Eloqua acq $871M Pardot acq $95M Klaviyo IPO
All three major players absorbed — Marketo into Adobe, Eloqua into Oracle, Pardot into Salesforce. Classic wave 3 fate: point solution with no data moat gets absorbed by the CRM that owns the customer record.
→ All absorbed by platform owners
↳ BI & analytics
Tableau acq $15.7B Looker acq $2.6B Qlik PE $3B Domo IPO
Winners on paper, absorbed in reality. Tableau → Salesforce, Looker → Google. The data layer got consolidated into cloud data platforms — Snowflake and Databricks were the real wave 4 winners.
→ Absorbed into data cloud platforms
↳ Customer success
Gainsight raised $220M Totango ChurnZero Mixpanel IPO
Churn became a board-level metric as SaaS companies matured. CS platforms created a new function — but still competing with CRM add-ons a decade later.
⚠ Still being squeezed by CRMs
↳ HR tech
Workday IPO $20B Greenhouse raised $255M Lever acq Lattice $3B val
Workday won by building the system of record. Recruiting tools stayed independent longer because hiring is a distinct workflow from core HR.
Datadog IPO $30B peak PagerDuty IPO Grafana $6B val Sentry raised $217M LaunchDarkly
Observability, alerting, feature flagging. Each team bought its own tool. Sprawl set in.
↳ Engineering intelligence
LinearB DevDynamics Jellyfish raised $71M GitPrime acq $170M Swarmia Allstacks
DORA metrics, cycle time, PR throughput — engineering visibility for VPs. Depended on data owned by GitHub, Jira, Linear. Those platforms built analytics natively and ate the category. Live proof point of the squeeze playing out.
⚠ Commoditised by platform owners
↳ Cloud cost management
CloudHealth acq VMware Apptio acq IBM $1.94B Spot.io acq $450M Infracost
Cloud bills exploded without visibility. All three major players acquired — none built a standalone moat. AWS/GCP/Azure cost explorer ate the basic tier.
→ Absorbed by cloud vendors and PE
↳ Incident management
OpsGenie acq Atlassian $295M Incident.io raised $62M FireHydrant Rootly
On-call and incident response became a discipline. OpsGenie absorbed by Atlassian; the newer generation building workflow and retrospective depth to avoid the same fate.
⚠ Mixed — some absorbed, some surviving
↳ DevSecOps
Snyk $8.6B val Aqua Security raised $265M Wiz $32B val Orca Security
Security bolted onto DevOps as an afterthought. Wiz won by being cloud-native from day one — the only sub-category to produce a wave 4-scale outcome from wave 3 timing. The exception that proves the moat rule.
→ Wiz the standout exception ($32B)
↑ We are roughly here
Cursor ~$9B val Harvey raised $300M Glean $4.6B val Writer raised $200M Sierra
AI copilots per workflow — coding, legal, sales, support, search. Fast adoption, minimal governance. Every team buying their own. The same wave 3 pattern, faster.
↳ Code AI
Cursor ~$9B val Windsurf acq Google $2.4B Tabnine Codeium GitHub Copilot
First and biggest wave 3 AI sub-category. Cursor won early mindshare. Windsurf's acquisition by Google at $2.4B is already the first live squeeze playing out — GitHub owns the IDE, the repo, and the developer relationship.
⚠ GitHub is the looming platform threat
↳ Vertical AI — Legal & finance
Harvey raised $300M EvenUp raised $135M Clio $3B val Rho Mosaic
Domain-specific AI with regulatory moats. Harvey's bet: legal workflows require domain depth that general models can't replicate cheaply. Strongest wave 3 moat if it holds — analogous to Veeva in the DT era.
→ Strongest moat thesis in wave 3
↳ GTM & sales AI
Clay $1.25B val 11x raised $24M Artisan Amplemarket Keyplay
Outbound and pipeline generation being rebuilt around AI agents. Clay built the data enrichment layer that everything else depends on — smarter positioning than pure workflow automation.
→ Fastest growing new category in 2025
↳ Customer support AI
Sierra raised $175M Intercom AI layer Aisera Forethought Decagon
First enterprise function to be fully re-platformed around AI agents. High churn risk for point solutions — Intercom, Zendesk, Salesforce Service Cloud all adding AI natively.
⚠ Incumbent platforms moving fast
↳ Healthcare AI
Abridge raised $150M Nabla raised $30M Amboss Suki AI
Clinical documentation and ambient AI for physicians. Regulatory barriers create moats. Abridge's UPMC partnership is the Veeva playbook — one major health system as a wedge into the rest.
→ Regulatory moat = durable wave 3
Wave 4 Control layer + consolidation
Snowflake IPO $120B peak Databricks $62B val ServiceNow IPO $100B+ Zapier $5B val
Data platforms and workflow orchestrators unified the chaos. The biggest exits of the era — and they came after the point solution sprawl, not before.
↳ Data governance
Alation raised $340M Collibra $5.5B val Atlan
Once data sprawled across 50 SaaS tools, governance became mandatory — compliance, lineage, access control. Late wave 4 but the pattern is clear: control always follows chaos.
Backstage Spotify OSS → CNCF Humanitec raised $30M Cortex Port Facets
Internal developer platforms abstracted K8s complexity. DevOps became platform engineering. The ops burden moved from individuals to a team with a product mandate.
↳ Cloud FinOps (mature)
Harness cloud cost module CAST AI Kubecost
Cloud cost management grew up into FinOps — a practice, not just a tool. Survived the wave 3 squeeze by embedding into the IDP layer.
? AI observability ? Agent orchestration ? Governance & audit ? Cost management
No clear winner. The control layer for AI agents at scale does not yet exist. This is the white space.
↳ LLM observability (early)
Arize AI raised $62M Helicone LangSmith Weights & Biases raised $250M Humanloop
Monitoring model calls, latency, cost, drift — the Datadog moment for AI. Still fragmented. No company has done to LLM ops what Datadog did to infra observability.
→ Earliest signal of wave 4
↳ AI governance & compliance
Credo AI Patronus AI Lakera raised $20M CalypsoAI Vanta expanding to AI
EU AI Act + enterprise risk mandates are forcing governance tooling. The Collibra of AI — boring, compliance-driven, and extremely durable once embedded. The most underinvested category right now.
→ Regulation is the forcing function
↳ Agent orchestration
Temporal $1.4B val E2B raised $13M Restack Superagent
As AI agents move from demos to production workflows, orchestration and state management become critical. Temporal has the head start — built for durable execution before AI agents were a category.
→ Pre-PMF, high conviction
Smart money signal
Sequoia, Bessemer bet on SaaS infra and integration middleware early. Biggest returns came from wave 4 — Snowflake, ServiceNow, Databricks. Wave 3 sub-categories that got absorbed (Marketo, Tableau) still produced strong outcomes — but for acquirers, not founders.
a16z, Sequoia backed GitHub, HashiCorp, Datadog in waves 1–2. Engineering intelligence attracted seed/Series A but no breakout — the category hit a data moat problem. Wiz ($32B) is the anomaly: security owned infrastructure data no one else could see.
a16z, Sequoia, Kleiner piled into foundation models and wave 2 tooling. Wave 3 point solutions getting funded reflexively. No one has clearly backed the wave 4 control layer at scale. The governance and observability category is 18–24 months from its Datadog moment.
The
Thesis
Wave 4 of the AI era is the largest unfunded surface area in enterprise software right now.
The sub-category graveyard in this table is the proof: marketing automation absorbed into CRM, BI absorbed into data clouds, engineering intelligence commoditised by GitHub — all wave 3 point solutions that lacked a data moat. The AI wave 3 is reproducing this pattern at speed across coding, GTM, legal, support, and healthcare. The companies that survive wave 3 either own regulated domain data (Harvey, Abridge) or become the control layer itself. Wave 4 — observability, governance, agent orchestration — does not yet have a clear funded winner. The company that builds the "Snowflake for AI workflows" or the "Backstage for agents" is not yet funded at scale. That is the bet.
→ Became standalone → Absorbed by platform ⚠ Being squeezed → Emerging / early signal
May 2026
Written by
Himanshu Saxena & Shubhanshu Singh
© Himanshu Saxena & Shubhanshu Singh. All rights reserved.