INTELLIGENCE FOR ENERGY & INDUSTRY

Intelligence for
the real world.

Turn complex asset documents into evidence you can act on. AI-assisted diligence and operational intelligence for energy and industry, with your experts in control.

Watch 7OVA workBook a demo
BUILT AROUND REAL WORKFLOWS MUNICH, GERMANY · WORKING GLOBALLY SCROLL TO EXPLORE
7OVA IN ACTION

From data room to decision.

Documents mapped. Gaps explained.
Findings linked to their sources, with your team in control.

Opening the 7OVA workspace…

Add project & documents

Name the project, set the review objective and choose the data-room folder.

Solara is a fictional project. The 2,847-file intake is illustrative; 29 detailed sample PDFs support the review.See it with your team
01 / A DIFFERENT KIND OF INTELLIGENCE

Every asset has a story.
We make it legible.

Behind every investment decision and every operational issue is a trail of documents, data, engineering knowledge and human judgment.

7OVA brings that context together, so teams can find what matters, understand why, and move forward with confidence.

02 / OUR FOCUSTWO APPLICATIONS. ONE PHILOSOPHY.

Built for the work
that really matters.

Not another dashboard to manage. Purpose-built intelligence that fits the work your teams are already doing.

01 /DECISION INTELLIGENCE

Technical
Due Diligence.

Move from scattered data rooms to structured, traceable findings. Review documentation, surface missing information and turn open questions into a clear next step.

WATCH THE WORKFLOW
PROJECT REVIEWSDOCUMENT INTELLIGENCESOURCE-LINKED FINDINGS
7OVA / REVIEW WORKSPACE↗
7
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ILLUSTRATIVE WORKFLOW / 01REVIEW BOARD
Asset documentation review↗
A clearer view of the evidence, the gaps and the next questions.
FindingsDocumentsOpen questions
DOCUMENTREVIEW SIGNAL
≡ Grid connection agreementReview required
≡ Performance assessmentEvidence linked
≡ Permit documentationAttachment missing
SOURCE-BASED REVIEWAnswers you can trace back.
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CONCEPTUAL PRODUCT VIEW — NOT LIVE CUSTOMER DATA
02 /OPERATIONAL INTELLIGENCE

Wind
Operations.

Connect turbine data, maintenance history and engineering know-how. Help teams investigate anomalies, prepare follow-ups and keep operational knowledge moving.

EXPLORE THE POSSIBILITIES
SCADA & ASSET DATAENGINEERING CONTEXTHUMAN-IN-THE-LOOP
WIND OPERATIONS / INVESTIGATION↗
ILLUSTRATIVE WORKFLOW / 02

From signal to context.

Investigate operational events with supporting history.

ASSET TREND · EXAMPLE SIGNALRECENT HISTORY ⌄
↳
Investigate the event

Related work orders, historical cases and technical procedures in one place.

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CONCEPTUAL PRODUCT VIEW — NOT LIVE TURBINE DATA
03 / THE DIFFERENCETECHNICAL DUE DILIGENCE, REIMAGINED
FROM FRAGMENTED WORK TO CLEARER DECISIONS

Today vs.
with 7OVA.

Technical due diligence for wind, solar PV and battery storage is still document-heavy. We help teams move from manual review to structured, source-linked intelligence — while keeping experts in control.

01 / CURRENT WORKFLOW

Today.

Fragmented. Manual. Repetitive.

2–8 weeksProject timelineIllustrative DD duration
5–15 peopleAcross functionsAdvisors, engineers and reviewers
2,000+DocumentsExample large-scale data room
ManualDD reportingFindings assembled by hand

Hours spent navigating folders, comparing files and rebuilding the same context.

02 / THE 7OVA WORKFLOW

With 7OVA.

Structured. Evidence-led. Human-reviewed.

  1. 01AI-powered workflow

    Move from data room intake toward a structured due diligence review.

  2. 02Automated classification

    Organize incoming documentation and surface missing items faster.

  3. 03Evidence-linked risk detection

    Flag gaps, inconsistencies and potential red flags with traceable sources.

  4. 04Human review, better decisions

    Give technical experts context to validate findings rather than read everything from scratch.

  5. 05Report-ready outputs

    Turn reviewed evidence into clear findings and an easier path to the DD report.

↗ Less manual review. More engineering judgment.

TALK THROUGH YOUR WORKFLOW

Illustrative DD figures, not industry-wide averages or a quantified 7OVA speed claim. Timelines, team sizes, and document volumes vary by project.

04 / THE APPROACHBUILT TO WORK WITH YOUR REALITY

From
information
to action.

The intelligence is only useful when it makes the next decision easier.

01

Connect the sources.

Documents, operational systems, maintenance records and relevant engineering knowledge.

＋
02

Make sense of the evidence.

Structure information, link it back to sources and surface inconsistencies or missing context.

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03

Support the next move.

Prepare findings, investigations and follow-ups your team can actually use.

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04

Keep people in control.

Experts review what matters. Decisions remain accountable and grounded in evidence.

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05 / OUR POINT OF VIEWBUILT FOR THE PEOPLE RUNNING THE SYSTEMS

Less noise.
More judgment.

We don't believe the future of industry is another black box. We believe it's better access to context, clearer evidence and smarter ways for people to work.

GROUNDED IN EVIDENCEDESIGNED AROUND OPERATIONSHUMAN JUDGMENT, AMPLIFIED
06 / SECURITY & PRIVACYCONFIDENTIALITY IS NON-NEGOTIABLE
PURPOSE-BUILT FOR SENSITIVE PROJECTS

Privacy first.
Confidence in every decision.

Data rooms contain confidential commercial, legal and technical information. Security is not an add-on to our due diligence workflows — it shapes how we design them.

01
ROADMAP

SOC 2 roadmap

A formal security assurance program is part of our roadmap.

02
ROADMAP

ISO 27001 roadmap

Working toward a structured information security management approach.

03
DATA COMMITMENT

No AI training on client data

Client documents are not used to train AI foundation models.

04
DEPLOYMENT REQUIREMENT

EU data residency

EU-region hosting and data location requirements are addressed during project scoping.

05
PRIVACY BY DESIGN

GDPR-conscious handling

Define purpose, access, retention and deletion safeguards for each engagement.

06
SECURITY DESIGN

Role-based access & auditability

Granular permissions and traceable review activity are core design goals.

Your data stays your business.

Security requirements and contractual safeguards are reviewed before sensitive project data is shared.

DISCUSS DATA HANDLING

Transparency matters: SOC 2 and ISO 27001 are roadmap goals, not current certifications. Hosting, access control and audit capabilities depend on the agreed implementation scope.

07 / THE PEOPLEENGINEERING × INDUSTRIAL UNDERSTANDING
THE TEAM BEHIND 7OVA

Built close to
the real work.

Our backgrounds connect two worlds: the complexity of industrial operations and the possibilities of applied AI. We build where those worlds meet.

Portrait of Şükrü Ergün Eraslan01 / BUSINESS & PRODUCT
CO-FOUNDER / 01

Şükrü Ergün
Eraslan

Co-Founder & CEO

With an engineering background and a focus on renewable energy, he connects industrial challenges with practical AI solutions. Leads product direction, industry partnerships and customer workflows.

RENEWABLE ENERGYINDUSTRIAL WORKFLOWSPRODUCT
Portrait of Hüseyin Bartu Can02 / AI ENGINEERING
CO-FOUNDER / 02

Hüseyin
Bartu Can

Co-Founder & CTO

An AI engineer focused on machine learning, computer vision and applied AI systems. Leads the technical architecture and development of reliable, real-world industrial intelligence.

MACHINE LEARNINGCOMPUTER VISIONAI SYSTEMS
BASED IN MUNICH · BUILT FOR THE WORLDLET'S BUILD WHAT'S NEXT. GET IN TOUCH ↗
BEFORE YOU TRUST THE OUTPUT

The questions
worth asking.

Confidential data. Defensible findings.
Clear limits on what the evidence can prove.

Talk through your requirements ↗
Where is our data stored, and who can access it?

We agree the hosting region, authorized users, access rules and model providers before receiving confidential project data. A local processing path is available in development; hosted deployment, permissions, retention and deletion must be verified for the agreed implementation. The public workspace uses fictional records.

Will our documents be used to train AI models?

Our policy is not to use client documents to train foundation models. Model access, provider terms, retention and any permitted data processing must be agreed for your deployment. We do not treat a model provider’s marketing promise as a substitute for contractual and technical checks.

How can we check an answer or challenge a finding?

Keep the source observation, calculation, interpretation and recommended action separate. The workspace links findings and answers to document IDs, pages and original source material. Reviewers can inspect, question and record decisions. A citation helps verification; it does not make an answer correct by itself.

Can you work with incomplete, scanned or multilingual data rooms?

The sample review uses English, German and Italian sources and explicitly flags missing pages, signatures and evidence. In the current local backend, text-readable PDFs, TXT and CSV are supported. Scans require a readable copy or manual inspection; OCR and broader Office extraction still need implementation and validation. We assess your actual file mix before agreeing scope.

What does the completeness percentage actually tell us?

It measures evidence coverage against the project’s selected requirements. Each criterion has visible subchecks, supporting sources, a weight and a contribution to the total. Missing or unsuitable evidence remains open. It is not a probability of investment success, a valuation or a substitute for specialist sign-off.

Does 7OVA replace our engineers, lawyers or tax advisers?

Those specialists remain accountable for their conclusions. 7OVA supports document organization, source inspection, calculations, issue tracking and follow-up. A performance discrepancy can justify further investigation without proving a failed component; a contract gap can require counsel review without establishing legal invalidity.

Can this fit our existing data room and reporting process?

We start by agreeing the source systems, directory structure, review mandate and required outputs. The demonstration supports source packs, coverage records, Excel workbooks and Word summaries. Native VDR connectors, shared access, SSO and other enterprise integrations must be scoped and validated; the website is not proof that those integrations are already deployed.

What can you demonstrate today, and what should we validate in a pilot?

We can demonstrate the prepared review workflow, original source inspection, transparent completeness calculations, assessment workpapers, reviewer controls and exports. The local backend separately supports extraction and classification on readable documents. A pilot should test representative authorized files, source accuracy, failure handling, throughput and security requirements. The large document count in this public walkthrough is illustrative, not a measured processing benchmark.

08 / LET'S BUILD SOMETHING USEFULLET'S START WITH YOUR WORKFLOW

Bring us your
next data room.

Show us the review your team is preparing. We’ll walk through the evidence, the open questions and where 7OVA could help.
business@7ova.com

BOOK A DEMO