Axiarete is the agentic AI platform that underwrites a target’s technology before you sign — then turns that diligence into a live value-creation and risk program the day you close. One record, from first look to exit.
Built by operators who have run technology diligence for Fortune-scale acquirers — and rebuilt it for the pace of a live process.
For two decades, leverage and multiple expansion did quiet work in every deal model. That era is over. Exits are slower, holds are longer, and LPs are asking about DPI before they ask about anything else. The multiple you exit at will be the multiple you build — operationally, inside the company, over the hold. And in company after company, the place where value hides and risk compounds is the same: the technology estate.
The growth plan assumes the platform scales. The margin plan assumes the systems consolidate. The exit plan assumes a buyer likes what their engineers find. Every one of those assumptions is a technology assumption — and most were never tested at entry.
Every committee now asks two questions of every target: what can AI do for this business, and what can AI do to it. A services firm that looks cheap may be cheap because its work is about to be automated by someone else. The AI question is no longer a slide in the appendix. It is the thesis, or the anti-thesis.
Acquirers now scan repositories, audit open-source licenses, and price technical debt in the purchase agreement. What your entry diligence sampled, their exit diligence will read in full. The discount gets decided in hours; the fix would have taken a quarter — three years earlier.
Ransomware at one portfolio company is now a conversation with every LP. Cyber insurance reprices annually. Disclosure regimes — SEC cyber rules, DORA, NIS2 — reach into portfolios whether the fund is ready or not. A GP without a portfolio-wide technology picture is carrying an exposure it cannot size.
One operating partner covers ten, fifteen, twenty companies. Management updates arrive in fifteen formats. The value-creation plan lives in a spreadsheet that was accurate in month two. The industry is running a 2026 mandate on 2006 instruments.
The stakes changed. The tools didn’t. That gap is where returns are leaking — and where Axiarete works.
Tech diligence gets whatever the exclusivity window allows. Advisors sample what there was time to sample, interview who was made available, and caveat the rest. The IC gets a point-in-time opinion on the single largest operational unknown in the deal — and the questions that never got asked stay unasked for the whole hold.
The diligence report is the most expensive document in the deal, and it is opened twice: once before the vote, and once never. Its findings have no owners, no dollars, no dates. By day 100 the value-creation plan has been rebuilt from scratch — by people who didn’t read it.
Management updates arrive as whatever management prefers to send. They are assessed against memory, not against the plan that was underwritten. Slippage isn’t detected; it’s confessed — at a board meeting, quarters after it began compounding.
The buyer’s diligence finds what yours stopped tracking: the unresolved copyleft exposure, the SOC 2 that never reached Type II, the monolith that caps the growth story. Each becomes a price adjustment, an indemnity, or a broken process — priced against you, at the exact moment you have the least leverage.
None of these are people problems. Your deal teams, advisors, and operating partners are excellent. These are instrument problems — and instruments can be replaced.
Axiarete is one platform with two halves that share a spine. Before the deal, it runs technology due diligence — agentic research, thesis-driven scoping, automated analysis across the target’s entire estate, and an Investment Committee report generated from the evidence. After the deal, it runs the hold — a value and risk command center, a living initiative roadmap, and management updates reconciled against the plan you actually underwrote.
The spine is the record. Every scope decision, every artifact, every working session, every finding, and every rating persists. Findings become initiatives with owners, dollars, and dates. Management’s monthly submission is checked against those initiatives — automatically. And at exit, the story of what was found, what was fixed, and what was built is already written, with the evidence attached.
The deal team holds one record of what was reviewed, what was concluded, and what has since been delivered.
Build conviction before you sign. Agentic research, configurable diligence paths, automated data requests, five analysis modules, and an IC-ready report — at the speed of a live process.
The pre-deal workflow →Deliver the value you underwrote. One scorecard for the hold, a living roadmap, high-severity risks pulled into the light, every management update graded against the plan.
The post-close capabilities →A live process gives you weeks, not months. Axiarete reads everything the target provides — every document, every repository you’re granted, every management session — and turns it into rated findings with the evidence attached. Not a sample. Not a summary of a summary. Coverage.
Context before the first data request. Agentic research on the company and its industry means you arrive at the first management session already fluent — and every later finding is judged against the right market dynamics, not a generic benchmark.
Scope from the thesis, not from a template. Choose the path the deal demands — Technology Risk to protect the thesis, Value Creation to size the levers that fund the returns, Deal Execution for Day-1 readiness, separation, and synergy — then tune the dimensions within it. The scope you set drives everything downstream.
Generated from your scope, not recycled from the last deal’s checklist. Every item carries its criticality and its typical source, so management knows exactly who owes what. Responses arrive through a dedicated portal or directly from the deal’s data room — and every artifact is indexed and attributable the moment it lands.
Five analysis modules run across the collected estate (detailed below). Findings are rated, evidenced, and tied to the dimension they answer.
Findings become the memo. Configurable templates generate the IC report in the structure your committee expects — deal scorecard, thesis tested against evidence, conditions and levers quantified — with every claim traceable back to the artifact that supports it.
One consolidated view of security risk — surfaced before it prices the deal.
Code, software supply chain, runtime, and infrastructure, assessed as one exposure picture rather than four isolated scans. Because the finding that matters is rarely a CVE count — it’s the unclosed identity gap on remote access, the SOC 2 stuck at Type I blocking enterprise renewals, the dependency debt concentrated exactly where the stack meets the outside world.
The invisible ceiling on the growth case — quantified.
Technical debt is not an engineering complaint; it is a valuation input. Axiarete scores it by what it costs: the velocity drag on the roadmap the model assumes, the resilience gaps behind the uptime the customers assume, the maintenance burden compounding inside opex.
Know what you’re actually buying — and what you’re allowed to do with it.
The exposures that surface as purchase-price adjustments live here: copyleft linkage in distributed code, vendor audit true-ups waiting for a change of control, contracts that need consent to assign. Axiarete inventories all of it before the SPA is drafted, not after.
EBITDA, located before the 100-day plan exists.
A high-level read of the application and vendor portfolio that finds the money early: redundant tooling across towers, overlapping vendors inherited through acquisitions, contracts whose terms — and whose cliffs — nobody has mapped to renewal dates. Walk into the first board meeting with the savings already found and sized.
The question every IC now asks — answered with evidence, in both directions.
How ready is this business to be transformed by AI: is the data accessible, are the processes digitized, is there leverage already paid for and unused in the estate? And the harder question underneath: how exposed is it to being transformed by someone else’s AI? One module, both sides of the thesis.
Five modules, one evidence base, and an IC memo you can defend line by line. Read the technology due diligence guide →
Everything the deal team learned becomes the operating team’s starting position. Findings convert to initiatives with owners, timelines, and value at stake. The roadmap becomes the reference every management update is measured against. And the AI keeps working — watching for slippage, surfacing new levers, and preparing the questions for your next management call.
Identified EBITDA at the top; beneath it, every initiative classified as secured, in execution, or at risk — with confidence levels the team actually maintains. When an LP, a board, or the IC asks where the plan stands, the answer is one screen, not one week of assembly.
Cost, growth, AI, and risk initiatives sequenced across the hold — and open, permanently: new initiatives join the plan whenever the situation produces them, not only at the start. This roadmap is the contract the rest of the hold is managed against.
The highest-severity items — the unclosed MFA gap, the Type II that gates enterprise renewals, the end-of-life runtime — get their own view, their own owners, and heightened attention until closed. Every open item is unpriced value leakage; Axiarete refuses to let it hide inside a status report.
Management submits through the portal; Axiarete reconciles the submission against the roadmap — on track, at risk, watch — flags what wasn’t addressed at all, and returns the questions to raise before the call, each with why it matters attached. Your team walks into every management conversation sharper than the update that preceded it.
The AI keeps studying the company, its peers, and its market — and surfaces new value and risk ideas, sized by impact, effort, and confidence. The operating team curates; nothing reaches management without your judgment. Think of it as a tireless associate whose only job is finding the next initiative.
Pre-configured alerts across value and risk mean slippage is a notification, not a quarterly surprise. The gap between something changing and someone acting shrinks from months to days.
This is what it looks like when the value-creation plan is an operating system, not a document.
Axiarete ingests the raw exhaust of a technology organization — code repositories, documentation, logs, configuration, tickets, financials — and builds a living graph that connects applications, infrastructure, and AI agents to the business processes and capabilities they serve. From that graph comes unified intelligence: features, architecture, technical health, performance, risks, optimizations, and total cost of ownership — each answer connected to every other, the way the estate actually is. A partial data set still yields a robust initial graph; every additional artifact sharpens it.
In diligence, a confident wrong answer is worse than no answer. So Axiarete holds itself to a standard most AI products won’t: if a finding cannot be traced to its source, it does not ship. Every conclusion links to the artifact, the working session, or the line of code behind it. Every assessment carries a confidence level. Human checkpoints sit at every judgment that matters. When your IC asks “how do we know this,” the answer is a click, not a shrug.
Software does the coverage; judgment stays human. Axiarete engagements pair the platform with forward-deployed engineers and operators who have lived inside enterprise technology estates — running the working sessions, pressure-testing the findings, and tuning the diligence to the thesis. Run Axiarete alongside your existing advisors to make them faster and deeper, or run it directly on deals that never justified a six-figure diligence sprint. Either way, the record is yours.
Reads everything you’re given. Shows its work on everything it concludes.
The full five-module baseline on the asset you’ll build around. The technology risk index goes into the model; the savings and AI levers go into the value-creation plan — before close, not after.
Separation is where technology assumptions go to die. Axiarete maps entanglement, sizes TSA exposure, and pressure-tests Day-1 readiness — so the perimeter you’re buying is the perimeter you priced.
Roll-ups win or lose on integration, and integration debt compounds silently across add-ons. Run repeatable add-on diligence at add-on economics, and track integration health across the whole platform from one place.
Competitive processes don’t wait for a six-week workstream. Get a thesis-grade technology read at the speed of the round — deep enough to matter, fast enough to stay in the process.
Your buyer will run code-deep diligence on you. Run it on yourself first — twelve to eighteen months out — and turn every would-be discount into a fixed item with a paper trail. The record of remediation becomes exit-narrative material: not “trust us,” but “watch it get done.”
One consistent technology and cyber picture across every portfolio company — for the annual review, the insurance renewal, the LP questionnaire, and the fund-level risk conversation the GP has never been able to have with data.
Point solutions cover a moment of the deal. Axiarete covers the deal.
A mid-market vertical-software target. Diligence scoped to the thesis in a working session, the data request generated the same day. Over the process, the platform reads 126 artifacts across 47 systems and 14 management sessions — every finding attributable. The IC memo lands with a technology risk index of 58/100, four pre-close conditions that retire roughly $21M of unmitigated equity-value risk, and $6.8M of identified run-rate improvement across the hold. At close, the findings convert into a roadmap of owned initiatives. By month four: $9.3M of EBITDA identified, 22% already secured, one dependency chain flagged to watch — and the monthly management update graded against the plan in minutes, with the four questions that matter prepared before the call.
Figures are illustrative, drawn from a platform demonstration on a representative mid-market deal.
The most valuable output isn’t any single number. It’s that every number has a source, an owner, and a date.
You are trusting us with live deal information. We treat that as the product requirement it is.
Only if you want it to. Axiarete is built to run alongside your advisors — the platform delivers coverage and evidence, they go deeper faster, and the findings survive close instead of dying in a PDF. On deals that never justified a six-figure diligence sprint, run Axiarete directly.
Through the channels deals already use: a dedicated upload portal, direct data-room integration, structured management sessions, and read-only repository access where granted. Axiarete extracts more from whatever access you win — a limited data set still yields a rated, evidenced baseline, clearly marked for coverage and confidence.
You don’t take our word for it — that’s the point. Every finding traces to its source artifact, session, or line of code; every assessment carries a confidence level; forward-deployed experts review the judgments that matter. A finding without evidence doesn’t ship.
Yes. Every company you own runs on a technology estate — ERP, data, security, vendors, and now AI. The savings, cyber, and AI-readiness modules routinely matter most on the deals nobody calls “tech deals.”
Per-deal diligence during the process; a hold-period subscription after close; forward-deployed support scaled to the situation. Live on your process in days — the platform was designed for exclusivity windows, not implementation calendars.
Before the next process opens. The first deal on Axiarete becomes the template for every deal after it — and the record starts compounding from day one.
Somewhere in your pipeline right now is a deal whose technology story will decide its multiple — at entry, through the hold, and at exit. Underwrite it with coverage instead of samples. Manage it with a plan instead of a PDF. Exit it with a record instead of a story. That is the whole product: one record, from first look to exit.
A working session with your deal team — live on your process in days.