ABI NexaIntelligence OS
The data & access layer
ΣFundamentals & Filings DataStandardized and as-reported, citedfxExcel Add-inThe cited number in your model{ }Data APIThe whole corpus, programmatic∞MCP ServerThe AI-native connector⛱Research WorkspaceThe whole file, per name
AI-native deliverables
ΣOperating & Valuation ModelsBuilt, sourced, refreshed on the print▤Company Tearsheets & ProfilesThe as-of-date one-pager✎Confidential Information MemorandaThe sell-side document, drafted✎Investment MemorandaThe buy-side write-up, traceable▣Pitch BooksProfiles and precedents, quoted⚟Screening & Idea GenerationScreens across the corpus
Who we serve
BBuy-SideHedge funds & asset managersSSell-Side ResearchEquity researchIBInvestment Banking & Corp DevM&A and coveragePEPrivate Equity & VCDeal teams, diligence to model▣CorporatesStrategy, IR and FP&A{ }Data & Quant TeamsAgents and pipelines
Plans Methodology Resources Sign in Request access
Products
Fundamentals & Filings DataStandardized and as-reported, citedExcel Add-inThe cited number in your modelData APIThe whole corpus, programmaticMCP ServerThe AI-native connectorResearch WorkspaceThe whole file, per name
Solutions
Operating & Valuation ModelsBuilt, sourced, refreshed on the printCompany Tearsheets & ProfilesThe as-of-date one-pagerConfidential Information MemorandaThe sell-side document, draftedInvestment MemorandaThe buy-side write-up, traceablePitch BooksProfiles and precedents, quotedScreening & Idea GenerationScreens across the corpus
Clients
Buy-SideHedge funds & asset managersSell-Side ResearchEquity researchInvestment Banking & Corp DevM&A and coveragePrivate Equity & VCDeal teams, diligence to modelCorporatesStrategy, IR and FP&AData & Quant TeamsAgents and pipelines
PlansMethodologyResources
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Client

Diligence a target on data you can trust.

Private equity and venture teams screen the universe, diligence a target on cited fundamentals, and stand up a model without waiting on a data pull, all on one provenanced corpus.

Request accessSee the platform
What you get

What you actually get to do.

Screen the whole universe

Filter every covered name on what was actually filed, then open a candidate straight into its full file, with no data request to wait on.

Editable models on a target, day one

A built model and valuation waiting the moment you open a name, so you size the target the day it lands.

The full diligence file

MD&A, press releases and transcripts beside the financials, so the read on a target starts from everything it has disclosed.

Diligence packs that trace

Every figure names its filing, so the pack is auditable from the first page instead of reconstructed the night before IC.

Honest precedent multiples

Comps computed on figures as first reported at each deal date, so the comparison is not distorted by later restatements.

No waiting on a data pull

The corpus is standing, so the team moves on sourcing and judgement, not on gathering.

See it

The target, sized on day one.

Screen, model and diligence output on one target. Arrows or dots to move through.

Screen the universe
On what was actually filed
Run the whole universe against what was actually filed, then open any name straight into its full file, with no data pull to wait on.
Screen resultson as-reported fundamentals
NameRev growthEBITDA marginNet debt / EBITDA
Candidate 118.2%31.0%1.4x
Candidate 212.7%28.4%2.2x
Candidate 39.9%24.1%0.9x
Every field is defined once across markets, so the screen compares like with like.
A model without the wait
Sizing starts on day one
The built model is waiting the moment you open the target, a driver DCF and a football field across every method, so sizing starts on day one rather than after the data arrives.
DCF, base case
131-178
EV / EBITDA
72-151
EV / EBIT
63-157
Price / Earning
87-121

Per-share fair value by method, low to high. ABI Nexa research, from company filings.

Diligence that traces
Auditable from the first page
Each figure in the pack names the filing it came from, so the diligence is auditable from the first page instead of reconstructed the night before IC.
os.abinexa.com/diligence
Line itemFY2023FY2024
Revenue2,0412,414
Gross profit1,1871,438
Gross margin58.2%59.6%
cited every figure traces to the filing it was drawn from
In practice

Between sourcing and IC.

01

Size it the same day

The whole file and a built model are there the moment you open the name.

0 wrong numbers on the audited sample
By hand today
Wait on a data pull before you can even size a target.
02

Diligence that traces

Every number names its filing, so the diligence pack is auditable from the start.

cited to the filing
By hand today
Diligence figures you cannot trace to a source.
03

Honest precedents

Precedent multiples are computed on figures as first reported at the time of each deal.

as-reported at deal time
By hand today
Compare a target to precedents distorted by later restatements.
The surfaces that matter here.
Screening. Screen the universe first.Operating & Valuation Models. Model the target.Confidential Information Memoranda. Read or draft the CIM.Research Workspace. The whole file on the name.
Why it fits

Built for a deal team on the clock.

A model without the wait

Start from a built, sourced model rather than a blank workbook and a data request.

Auditable diligence

Because every figure names its filing, the pack you build carries its own trail.

7,500+
pre-built models, US, India and foreign filers
15 years
of history, restatements kept
29.8M
facts, each one cited
0
wrong on the source-verified sample

See it on your own coverage.

Tell us the names and markets you follow and we will show you the desk on them.

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