Your data · your cloud · human review
AI analysts that know your business.
Built on your documents, data and context, so they work from day one.
For finance, real estate, compliance and operations teams that produce the same reports, lists and answers every week.
5 minnot 2–3 days, on a global top-30 bank.Read the AI Street storyUS Data Centers & Cold Chain · Live Map
16 markets · 13,900+ sites
Digital Realty & Equinix“Across Northern Virginia, Frankfurt, and Paris, our $7B Blackstone hyperscale JV is 84% pre-leased prior to shell completion at +15.2% cash spreads.”
- 27,124 MW operating capacity across 1,408 US campuses.
- Digital Realty $7B hyperscale JV is 84% pre-leased at +15.2% spreads.
- Ashburn (4,900+ MW) and DFW (1,450+ MW) sit on EIA gas trunklines.
- Utility queue timing differs between developer presentation and PJM filing.
"Across Northern Virginia, Frankfurt, and Paris, our $7B Blackstone hyperscale JV is 84% pre-leased prior to shell completion at +15.2% cash renewal spreads."
Teams we have worked with
Solutions
Finance
Renewal spreads & utility power queues
Pension fund
Public source retained
Sovereign fund
Public source retained
Family office
Public source retained
Real estate
DFW Airport Infill Logistics Park
Prologis · +34% cash rent change · Q3 Call p. 8
Workforce knowledge
Company knowledge
approved sources
Financing_routes.pdf
Approved
Compliance and documents
Singapore
AI governance framework
Vietnam
Data law update
UAE
Reporting rule change
Real Assets: site maps, company profiles, earnings calls, and research decks.
13,900+ facilities mapped across 16 markets with operator filings and grid layers.
Northern Virginia (Ashburn) AI Cluster
PJM Grid · Williams Transco Gas · Virginia Beach Subsea CLSDigital Realty Trust
119 US · 48 EU campuses · $7.0B Blackstone Hyperscale JV
“Across Northern Virginia, Frankfurt, and Paris, our $7B Blackstone hyperscale development JV is 84% pre-leased prior to shell completion at +15.2% cash renewal spreads.”
29.0 GW US Colocation & Utility Queues
DLR Form 10-K · JLL Midyear 2026 · EIA
AnalystAI Supply
Keep multi-sheet Excel inventory and supplier ordering models alive in Postgres with formula-intact .xlsx exports.
AnalystAI Health
Turn multi-lab blood panel PDFs and scans into longitudinal patient tables with cropped source proof beside every value.
Companion
Deliver product specs, showroom battlecards, SOP answers, and weekly microlearning quizzes directly in WhatsApp.
For private equity portfolio companies & operating teams
Ten industries, sixty documented AI workflows.
Select a sector to view its six recurring analyst workflows and deliverables.
Private equity & funds
Open Private equity & funds playbookInvestment memo drafting
Aggregates financial, commercial, and operational evidence across data-room files
Institutional LP & strategic buyer qualification
Screens institutional investors, infrastructure funds, and strategic buyers against deal criteria
Inbound pitch deck & teaser pre-screening
Evaluates inbound teasers and CIMs against the fund's explicit investment thesis
Due diligence questionnaire (DDQ) completion
Connects to approved prior DDQs, fund policies, and audited performance tables
Company & sector one-pagers
Synthesizes primary filings, registry records, and trade press on target companies
Portfolio updates & recorded call synthesis
Processes management call notes and monthly board packs into structured KPI trackers
Outputs
Ends where your team already works.
No new dashboard to learn. Each analyst delivers in the format the next person already uses, and is built for a person to review before it goes out.
Report
A written report in your house style, with figures linked to their sources.
Deck
PowerPoint slides your team can edit and present.
Spreadsheet
Excel tables ready for the model you already run.
Map
Sites, assets and comparables on one filterable map.
Chat
Answers in WhatsApp, where staff already ask.
Email digest
A scheduled summary in the inbox before the day starts.
How it works
Source. Analyst. Output.
1. Source
Documents & Excel models
2. Analyst
Cross-check & rules
3. Output
Ready for sign-off
Sample Co. Financial & Portfolio Summary
Source: Annual_Report_2025.pdf (p. 14)
Reviewer sign-off
Required before work is sent
Ownership
Your cloud, your sources, your sign-off.
AnalystAI is deployed on AWS, Azure, or GCP; works with your data and operating processes; and can be licensed as a codebase when your organization needs deeper control.
- Your cloud
- Deployed on AWS, Azure or GCP, inside the boundaries you approve.
- Your data
- Your documents and data stay under your control.
- Evidence attached
- Figures are linked to the source page they came from, so your team can check them.
- Human review
- A named person signs off before work leaves the desk.
Common questions about AI analysts.
How our systems connect to your documents, preserve source evidence, and deploy inside your cloud environment.
What is an AI analyst at AnalystAI?
An AI analyst is a specialized workflow system built around your company's own documents, spreadsheets, databases, and operating rules. Instead of acting as an open-ended chatbot, it executes a defined recurring job, such as preparing a daily cross-asset market report, qualifying institutional investors from filings, extracting clinical lab PDFs, or answering frontline staff questions in WhatsApp, and attaches the exact source page to every figure so a named reviewer can sign off.
How is AnalystAI different from a generic AI chat tool?
Generic chat tools wait for prompts and do not know your internal templates, data boundaries, or approval gates. AnalystAI connects directly to your approved sources, runs on a schedule or inside the channel your team already uses (web workspace, Excel, or WhatsApp), enforces your exact output format, and keeps claim-to-source lineage visible before anything is shared.
Where is AnalystAI deployed and who controls the data?
AnalystAI deploys on AWS, Microsoft Azure, or Google Cloud inside the environment and regional boundaries you approve. Your documents, databases, and outputs remain under your control, with role-based access and optional codebase licensing when your organization needs long-term ownership.
How does AnalystAI prevent hallucinated numbers or unverified claims?
Every extracted figure, quote, or regulatory obligation is linked back to the underlying source document and page image. When a source is missing, unreadable, or ambiguous, the system flags an explicit evidence gap for human review rather than guessing or filling in synthetic defaults.
What industries and recurring workflows does AnalystAI support?
We support 60 documented workflows across 10 industries: private equity and funds, commercial real estate and infrastructure, automotive and field workforces, wealth management, management consulting, legal and compliance, insurance and brokerage, accounting and audit, retail and consumer brands, and healthcare operations.
How long does it take to launch a first AI analyst workflow?
Teams start with one recurring report, list, or question flow. We map your existing inputs, verification rules, and target output format, then deliver a working, source-linked analyst scoped to that job within weeks.
Workflow review
Start with one recurring job.
Tell us about one report, list or answer your team produces again and again. We will show you what an analyst for it would look like.
Email usOr leave your details and we will write back.
- 1Tell us the jobWhat goes in, what comes out, who checks it.
- 2We map itSources, checks and the format your team expects.
- 3You see a planOne analyst, scoped to that job, with next steps.