Nulqevra AI brings opportunity sourcing, engagement setup, document review, due diligence, financial analysis, valuation, and transaction execution into one connected advisory platform. AI helps qualify opportunities, extract and organize transaction data, identify missing evidence and risks, analyze financial performance, test valuation assumptions, and monitor execution milestones so advisers can move each engagement forward with clearer evidence and less manual work.
The Dashboard puts active opportunities, buyer matches, AI confidence and the human attention score on one screen — with the weekly opportunity trend, the review queue, document readiness, open findings and AI recommendations beside them — so partners see where every deal stands without opening five systems.
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60%, 85%, 10+ hrs and 2.5x are illustrative targets for an M&A advisory workspace, not measured Nulqevra AI customer results or a performance guarantee.
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Enterprise Strategy & MandatesCenqorvia AIevery nestack platform operates on shared ai orchestration, verified evidence tracing, and industry-tailored ingestion models.
The same modules you see in the Nulqevra AI sidebar — Opportunity Sourcing, Engagement Setup, Document Review, Due Diligence, Financial Analysis, Valuation Review and Transaction Execution — connected on one deal record from first inquiry to closing, with AI confidence and human review on the dashboard.
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Capture new inquiries, referrals, company profiles, buyer requirements, and potential transaction opportunities in one workspace. AI reads the incoming information, identifies the transaction type, extracts key company and financial details, checks data completeness, and helps match suitable buyers or targets based on sector, size, geography, and transaction fit.
Turn a qualified opportunity into an active advisory engagement by defining the client, target, objectives, timeline, team, and information requirements. AI helps prepare the engagement summary, suggests relevant workstreams and objectives, recommends the team structure, and identifies the documents needed before the engagement moves forward.
Bring financial statements, contracts, customer data, debt schedules, tax records, board materials, and other transaction files into one review process. AI classifies each document, extracts important information, identifies missing or duplicate items, checks completeness, and highlights key clauses or fields that require further review.
Investigate the financial, legal, commercial, operational, and tax evidence behind the transaction. AI helps detect missing information, unusual financial movements, customer concentration, contract issues, and other exceptions, then turns those findings into focused review items and diligence questions for the advisory team.
Analyze revenue, EBITDA, margins, customer concentration, working capital, net debt, cash flow, and other transaction metrics using validated information from the diligence process. AI identifies significant variances, unusual trends, possible adjustments, and financial risks, helping advisers focus on the numbers and assumptions that materially affect the transaction.
Bring normalized financial results, valuation assumptions, comparable companies, transaction multiples, and scenario outputs into one review workspace. AI helps identify relevant comparables, test assumptions, run valuation sensitivities, and highlight the inputs that have the greatest impact on enterprise and equity value.
Track milestones, key tasks, related documents, regulatory actions, open risks, and closing requirements from negotiation through completion. AI monitors dependencies, identifies overdue or high-risk items, compares execution status against the transaction plan, and highlights the issues most likely to delay signing or closing.
Nulqevra AI connects the complete advisory workflow in one continuous process — from opportunity sourcing and engagement setup to document review, due diligence, financial analysis, valuation, and transaction execution. AI prepares, checks, and analyzes the information at each stage, carries the structured output forward, and keeps advisers in control of reviews, approvals, and final decisions.
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Most deal platforms ship one model and your team works inside its limits. Nulqevra AI puts an orchestration layer between the workflow and the model, so each diligence task runs on the intelligence that suits it.
One model, one pass, and no step you can point somewhere else.
You work within its limits.
Layout-aware OCR keeps multi-column financial statements, scanned contracts and exhibit tables intact where a general model flattens them.
A fine-tuned classifier sorts GLs, trial balances, contracts, board minutes and tax files before extraction runs.
Long context holds the full data room, so a revenue figure in the CIM still reconciles to the ledger on page 212.
Structured reasoning turns extracted evidence into a finding with severity, value impact and source links, in a strict schema.
Embeddings retrieve comparable companies and precedent transactions; a reranker orders them by sector, size and fit.
Open-weight models can run inside your own environment, so material non-public deal information never leaves your VPC.
Note: Model names and marks are the property of their owners and appear here to say which APIs a workflow step can be routed to. No endorsement or partnership is implied.
Nulqevra AI connects with the deal CRM, document stores, e-signature, communication and analytics tools your practice already runs on, through documented APIs — so inquiries, data-room files, engagement letters and model outputs move between systems without re-keying.
Note: Tool names and marks belong to their respective owners. No endorsement or partnership implied. Integration availability depends on existing systems, licences, API access, vendor approval, security configuration and implementation scope.
Mandates run under antitrust, accounting, internal-control and data-protection rules. Nulqevra AI keeps the evidence those rules ask for on one deal record. Compliance itself still rests on how your firm configures, governs and operates the platform.
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Note: Nulqevra AI provides technical capabilities that support these standards and requirements. It is not itself certified against them, it does not independently certify your firm as compliant, and it does not replace legal, antitrust or accounting advice. Availability may depend on product configuration, configured integrations and customer operating practices.
Which is the hard half. It runs every day against data rooms nobody indexed, on models that shift under it, for a deal team that finds out something drifted when the partner opens the QoE pack an hour before the buyer call.
Telemetry, evaluations, guardrails, human review, and a crew on call when one of them starts drifting in the middle of a live process — before it reaches the buyer, the lender or the board.
Generic, third-party equipment — chosen by function, not by brand — that connects to Nulqevra AI through supported drivers and integrations and sends what it captures straight into a named module.
Digitise paper-based transaction records such as signed agreements, financial statements, board materials, lender documents, tax records, and restructuring files before they enter the advisory workflow. Scanned pages are converted into searchable digital documents, then passed into Document Review where AI can classify the file, extract key information, identify missing pages or fields, and link the evidence to the correct engagement.
Note: Hardware, installation, and integration are not included in the standard subscription. Additional charges apply based on the hardware selected, integration modules required, and implementation scope.
Nulqevra AI runs on a single monthly subscription covering every mandate your practice runs — from first inquiry and engagement setup through diligence, valuation and closing.
Onboarding is a separate one-time fee, set out below.
A one-time setup that gets your advisory practice fully live before the first monthly cycle — we bring in your active engagements, past QoE reports and precedent library, connect the deal room and financial-model stores your partners already work in, and configure sourcing, diligence, analysis and execution around how your practice actually runs. Each fee below is a starting point: the final onboarding is scoped once we understand your environment, security needs, integrations, data volume, compliance requirements and deployment model.
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Same platform, same ongoing subscription price. Only the onboarding may differ by your requirements.
Runs in Nestack's managed cloud — we handle hosting, scaling, updates and backups. The fastest way to start: sourcing, engagement setup and the deal file are live without any infrastructure to stand up.
The same platform deployed inside your own cloud, VPC or on-prem environment, for firms bound by strict client confidentiality and deal-team ethical walls. Data-room contents, diligence workpapers and valuation models never leave your environment, and the monthly subscription stays exactly the same.
Before you subscribe, managing partners and deal leads want clarity on cost, risk, payback and rollout. These answers are written for that conversation — not a module tour.
Didn’t find your answer? send us a message — we’ll respond with care and clarity.
