Aiveris Research · v1.1 · May 2026 · Living document

The vertical AI workforce map.

Vertical AI is competing for labor budgets, not software budgets. This map tracks the companies absorbing repeatable professional workflows inside large vertical labor pools — the buyers competing against them, the spend they're displacing, and the deployment evidence we can verify.

Categories
09
Labor pools
Company placements
60+
Across 50 distinct companies
Labor spend tracked
~$2T[1]
US — annual
Next release
Aug 2026
Quarterly cadence
How to read this map

What counts as a vertical AI worker.

Three rules. A company must clear all three to be placed on the map. General-purpose tooling, copilots, and demoware are deliberately out of scope.

01 / Inclusion
Replaces a workflow, doesn't assist one
The product's primary value proposition is automating or absorbing a previously human-staffed workflow — not making an existing worker faster at the same task.
02 / Inclusion
Vertical or function-specific
Targets a specific vertical or labor function. Horizontal copilots and general-purpose chat tools sit outside the scope.
03 / Inclusion
Real deployments, real outcomes
Has shipped product, paying customers, and at least one disclosed outcome through funding, usage, or partnerships. No vaporware.
Filter + Add a company
03 / 09

Finance & accounting AI

IB analyst work · close & reconciliation · FP&A · compliance

Updated · May 2026

Junior analyst and associate workflows — memo drafting, comps, deal precedents, month-end close, reconciliation — are being absorbed function by function. Rogo handles the IB analyst stack. Numeric handles close. Domain-specific regulation is the moat, not a barrier.

Replaced workflow Junior analyst & staff accountant tasks
Companies — featured / tracked
Rogo Numeric Finley Defog Kensho Hebbia FloQast AI
Buyer Banks · corp finance
Regulation Friction = moat
Hot
04 / 09

Sales & GTM AI workers

AI SDRs · account research · outbound · qualification · meeting booking · CRM ops

Updated · May 2026

AI workers running outbound and account research as autonomous SDR teams. The strongest products behave like an entire SDR org with measurable pipeline contribution — not a copilot bolted to a rep's screen. 11x's Alice is the archetypal example: an AI SDR product, not an HR product.[5]

Replaced workflow SDR teams, BDR labor, account-research analysts
Companies — featured / tracked
11x Common Room Clay Artisan Regie.ai Default Persana Apollo AI
Buyer RevOps · VP Sales
Pricing model Per-seat or per-AI-rep
Hot
05 / 09

Biz-in-a-box AI

Franchise & multi-location ops · AI receptionists · SMB back-office

Updated · May 2026

SMBs and franchises running entire communication and admin functions through AI "employees." The model isn't selling a tool — it's selling an outcome: inbound calls answered, bookings made, leads captured, 24/7 across multi-location organizations. Pricing is shifting outcome-based.

Replaced workflow Receptionists, dispatchers, after-hours staff
Companies — featured / tracked
Adminify Goodcall Synthflow Bland Aloware Botpress Air AI
Pricing model Outcome-based
Entry wedge Voice / inbound calls
Emerging
06 / 09

Hiring & HR automation

Sourcing · screening · interview ops · onboarding · workforce planning

Updated · May 2026

One of the first vertical-AI categories to mature. Agents run sourcing, screening, scheduling, initial assessment, and onboarding end-to-end. The strongest products reduce recruiter load while preserving auditability and candidate experience — and the early generation is commoditizing fast.

Replaced workflow Recruiters, coordinators, screening interviewers
Companies — featured / tracked
Paradox Mercor HeyMilo HireVue hireEZ Eightfold Textio Phenom Enboarder
Buyer Talent acquisition · CHRO
Risk Commoditizing fast
Consolidating
07 / 09

Field & frontline operations

Construction · permitting · home services · inspection · field documentation

Updated · May 2026

The US construction industry needed an estimated 439,000 additional workers in 2025 and 499,000 in 2026[6] — a structural labor gap that creates the ROI pressure adoption needs. Multimodal models now read site conditions, as-built drawings, RFIs, and permits; home services follows via PE-driven consolidation.

Replaced workflow Site walks, permit clerking, RFI review, inspection write-ups
Companies — featured / tracked
PermitFlow Buildots OpenSpace Raken Procore AI Zoe Aforza
Enabling tech Multimodal vision
Forcing function Labor shortfall
Watch
08 / 09

Public sector & higher-ed operations

Procurement intelligence · admissions · advising · benefits navigation · grants

Updated · May 2026

Higher education spends roughly $240B on administration — at some universities the admin headcount exceeds the student count. AI is entering enrollment, advising, transcript processing, and financial aid. Government procurement intelligence runs parallel: NationGraph[7] maps 100,000+ government entities to surface contract opportunities; CollegeVine[8] sits on the higher-ed operations side. K-12 learning and AI avatar tooling are tracked outside this category.

Replaced workflow Admissions counselors, advisors, procurement BD, grants admin
Companies — featured / tracked
NationGraph CollegeVine Civitas Learning GovGist Element451
Admin spend ~$240B higher ed
Stage Nascent
Emerging
09 / 09

Insurance workforce AI

Claims · underwriting · broker ops · BPO replacement

Updated · May 2026

Insurance claims and underwriting are overwhelmingly manual: adjusters, reviewers, and call-center staff handle each case individually. AI is entering end-to-end — reading multi-thousand-page documents, applying carrier-specific rules, and preparing files the way a BPO team would. WithCoverage absorbs the broker relationship entirely. Direct-to-consumer insurance carriers are tracked separately; they're a different business model.

Replaced workflow Adjusters, underwriting analysts, claims-processing BPO
Companies — featured / tracked
Pace Insurance WithCoverage Sixfold Cytora Cogo Cognigy Muffintech Beam AI
Buyer Carriers · brokers · BPOs
Moat Carrier-rule data
Accelerating
Method & scoring

How we map this.

v1.1 May 2026 Quarterly update Aiveris primary research

This is the primary research product of Aiveris's vertical-AI practice, made public. We track companies not by their model stack but by the organizational form they represent — the labor function they replace, the buyer they sell to, the spend they compete against, and the data position that makes them durable.

Vertical AI is structurally different from horizontal AI tooling. These companies compete for labor budgets — headcount, throughput, revenue recovered — not software line items. Durable players stay embedded in live workflows rather than alongside them, accumulating proprietary context a new entrant cannot replicate. Real estate, clinical workflow AI, and K-12 / consumer education AI are tracked separately and will appear in v1.2 (August 2026) if they meet the inclusion bar.

Per-company scoring model

Workflow depth How much of the task chain the product owns end-to-end.
Labor substitution Degree of human-hours absorbed per deployed instance.
Buyer urgency Budget pressure and adoption velocity in the target buying center.
Vertical specificity Industry data, compliance footprint, and workflow integration depth.
Proof signal Customers, funding, usage, revenue, or partnership disclosures we can verify.
Living document

Add a company to the map.

Founders, operators, investors, and customers can submit companies we've missed. We review submissions weekly and refresh the map quarterly. Submissions are not guarantees of inclusion — every entry has to clear the three criteria above.

Add a company submission form
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Thanks — your submission is in the queue.

We review submissions weekly. If your company meets the three inclusion criteria we'll add it to the v1.2 release and email you a heads-up before publication.

Submission ID
VAWM-26-0000
Next release
August 2026 — v1.2
Reviewer cadence
Weekly
Sources & methodology — 8 citations
  1. [1] Combined labor spend ~$2T. Aiveris internal estimate aggregating the labor pools listed below, restricted to US-addressable spend. Methodology available on request. Aiveris research, May 2026
  2. [2] $405B US law firms market. IBISWorld, "Law Firms in the US — Market Size 2025," accessed May 2026. ibisworld.com IBISWorld · 2025
  3. [3] Harvey 2026 financing. Harvey announced a 2026 raise valuing the company at $11B, replacing the prior $100M Series C signal (Reuters, July 2024). Reuters coverage. Public filings · Mar 2026
  4. [4] $740B healthcare administration vs. ~$63B IT. Menlo Ventures, "Healthcare AI: The path forward," based on proprietary survey + secondary research. menlovc.com Menlo Ventures · 2025
  5. [5] 11x — Alice as AI SDR. 11x positions Alice as an AI sales development representative for lead research, outbound, and meeting booking. 11x.ai. Placed in Sales & GTM, not HR. Vendor positioning
  6. [6] Construction labor shortfall. Associated Builders and Contractors estimates 439,000 additional workers needed in 2025 and 499,000 in 2026. abc.org ABC · 2025
  7. [7] NationGraph — public-sector procurement intelligence. Maps 100,000+ government entities to surface contract opportunities. nationgraph.com Vendor disclosure
  8. [8] CollegeVine — higher-ed operations. AI-driven admissions and student-services platform. collegevine.com Vendor disclosure
Get the dataset

The map is the summary. The dataset is the work.

The full v1.1 dataset includes every company on the map with category, replaced workflow, buyer, funding signal, deployment evidence, moat type, and source links. Subscribers also receive the August 2026 v1.2 release first.

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