eridaaa
Multi-agent AI · Freelancer to Enterprise

Automatic document review.
Against every requirement.

veridaaa reviews documents against contracts, requirements, standards and norms — with a self-verifying multi-agent architecture. The project assistant answers questions and TQs with source citations and cross-checks documents against the schedule. Your documents stay local on your machine. veridaaa augments experts — it does not replace them.

For every company size

From freelancer to enterprise.

Reviewing documents against requirements is not the job of any single company size — it's a core process everywhere. veridaaa adapts: with or without a connected database, for a single user or hundreds, for single documents or entire project archives.

Freelancer & Solo

One document, reviewed instantly

No IT setup, no database. Drop a document into the app, pick a review basis (e.g. requirements list or contract), receive comments. A second opinion before you submit.

Small team & SME

Take specialist load off generalists

In SMEs, standards checks, tender reviews and QA land on the desks of generalists. veridaaa augments them — the domain decision stays with the human.

Mid-market

Structured review across domains

Multiple expert agents mirror your departments. The compiler agent consolidates comments, the quality agent verifies — in real time, without breaking the workflow.

Enterprise

Scales to large projects

From a single document to the complete project archive — the same architecture. Any number of expert agents can be configured; organisation-wide reference libraries and reviewer pools keep every project consistent. DMS connectivity is envisaged as a future expansion stage.

Typische Anwendungsfälle.

Tender

Review your bid against the full tender

You upload the tender input (specification, contract, requirements list) and your bid text. veridaaa reviews every requirement: is it addressed? Completely? With which clause? Nothing slips through.

Standards check

Technical documents against DIN, ISO, VDE

Systematic comparison of your documents against the applicable norms. Deviations are marked with source reference — your expert reviews and decides.

Contract as reference

Compare documents against contracts

The contract serves as a review basis: technical proposals, delivery documents, scope descriptions are compared against deadlines, clauses and commitments. The legal assessment remains with the lawyer — veridaaa provides the groundwork.

Quality assurance

A second opinion before sign-off

Multi-agent review as an additional verification layer before a document leaves your house. Approval stays with the human expert.

veridaaa runs without its own IT department, norms library or database — and still scales in both directions: single user or international team.

Case example
Offshore wind · document-intensive environment · anonymised

Einsetzbar in jeder Branche mit Prüfprozessen

Offshore & EnergyRail & Rail InfrastructureConstruction & Civil EngineeringAutomotivePharma & Life SciencesMechanical EngineeringPlant EngineeringPublic Sector
Architecture in real time
Pluggable into your process

One orchestrator, unlimited agents — mirrors your organisation.

Every incoming document is recognised by the orchestrator and dispatched to specialised AI agents. You build these agents around your org structure — one agent per domain, as many as you want. A compiler agent cross-checks the comments, a quality agent validates before the results reach the expert.

Document pipeline · live
real-time
Document
Specification · Bid · TQ
Orchestrator
routes · dispatches
Expert agents · n×
Electrical Engineering · Structural Engineering · Contract Law · …
Compiler
cross-checks
Quality
final check
Expert
Approval · Chat
Document

Specification, contract, tender, TQ, norm — any format.

Orchestrator

Detects document type and content. Dispatches to the responsible expert agents.

Expert agents

Set up along your org structure — as many as you like, each focused on its domain.

Compiler agent

Consolidates comments, cross-checks them, detects conflicts and gaps.

Quality agent

Final check: citations, consistency, deduplication — before anything reaches the expert.

Subject-matter expert

Sees validated comments with exact source references. Can challenge, drill down or request more detail via chat — data-based. Decides and approves.

Orchestrator, agent swarm, compiler and quality check run in parallel — in real time. No overnight batch runs.

Pluggable into your existing process — as an additional review layer before sign-off, without replacing existing workflows.

The modules

Three modules. One result.

Each module specialises in one job and verifies the others. The result is traceable and auditable.

Review

Review agent

Reviews documents against requirements, standards and norms.

Automatic analysis of technical and contractual documents by specialised expert agents. Every comment cites the exact location — chapter, page, paragraph — plus the corresponding requirement. Traceable and auditable, including for regulated industries.

4 expert agents active
E-stop redundancy · ER 4.2.1Electrical
Corrosion protection · DIN 55928Structural
!Test report missing · IEC 61400HSE
Contract deadlines · §7.4Contract
Source: Spec_Rev03.pdf · p. 42, §4.2 → ER 4.2.1
Coverage

Coverage agent

Shows end-to-end where every requirement is covered.

Full traceability between requirement catalogue, norms and project documents. Missing evidence is flagged automatically, related comments are consolidated.

Coverage matrix
ER clauses92%
DIN standards78%
IEC standards85%
Contract100%
!3 requirements without evidence → gap report
Assistant

Project assistant

All project data — one question away. Including TQ responses.

Ask the whole project: contract clauses, norms, existing comments — answered with source citations. The assistant drafts TQ responses straight from your reference library, cross-checks documents and deadlines against the project schedule, and generates letters or presentations from the project context on demand.

Draft a response to TQ-2431 — coating-thickness evidence.

TQ-2431.pdf

Draft ready: coating thickness 320 µm per DIN EN ISO 12944-5 (corrosion-protection spec Rev03, p. 18, §5.2).

Response due 14 Jul — 3 days of buffer, no conflict.
TQ-2431_Response.pdf
Ask a question …
Structure & responsibilities

One organisation, clear roles.

veridaaa is structured like your project landscape: one organisation bundles members, coin budget and shared libraries. Below it run any number of projects — each with its own configuration and clear responsibilities.

Level 1

Organisation

Owner & admins

Manage the organisation: members, coin packages and team quotas, organisation-wide reference libraries and reviewer pools.

Level 2

Projects

Project owners & admins

Configure the individual project: review pipelines, knowledge base, expert agents and approval workflows.

Level 3

End users

Experts & team

Work in the fully configured project — zero setup: run reviews, assess comments, use the project assistant.

0 %
source-cited comments — every statement with its exact location (chapter, page, paragraph)
0–70 %
of expert time today goes into document-related overhead (industry analyses)
0+
predefined expert profiles in the reviewer library — ready to use
Dialogue with the agents

Every response can be challenged — data-based.

One comment isn't enough? Ask back. Through a chat window, challenge every agent response, request more information or probe deeper. Every answer stays data-based: with source reference to chapter, page, paragraph — never hallucination.

  • Challenge comments

    "Why do you rate this as a gap?" — the agent explains, cites the source and shows the concrete reference in the document.

  • Request more context

    "Give me all similar clauses in other contracts." The agent delivers — with exact location.

  • Alternative perspectives

    "How would the contract expert see this?" The chat reaches specific agents in your swarm.

  • Every answer data-based

    No hallucination. Every claim is tied to a source — or marked as "not substantiated".

Comment · Chat with the agent
live
Review agent · Electrical engineering

§4.2 Emergency-stop redundancy: implemented single-channel only — deviation from the requirement.

ER 4.2.1 · chapter 3, p. 18, para. 2
AcceptEditReject
Chat about this comment

Why do you rate this as a deviation? Where is that in the ER?

Source verified

ER 4.2.1, chapter 3, page 18, paragraph 2: "Dual-channel with testability." The document shows only one channel in fig. 4 (p. 12).

Update the comment — explicitly require a dual-channel implementation with testability.

Ask a follow-up, request a source, refine the comment …
Project assistant

Ask your project — in real time.

Every ingested document — contracts, specifications, norms, TQs, comments, revisions and the project schedule — becomes part of a project-specific AI. You ask questions in natural language and receive well-founded, source-cited answers. The assistant also answers technical queries straight from your reference library and cross-checks documents and deadlines against the schedule.

  • Asks the whole project

    Not just single documents: the AI draws on your entire project corpus — contracts, ERs, norms, TQs, revisions, existing comments and the project schedule.

  • Draft TQ responses

    Answer technical queries right in the assistant: the draft comes source-cited from your reference library — you review, refine and approve.

  • Cross-check against the schedule

    Compare TQs, documents and commitments against the project schedule — conflicts and overdue evidence become visible before they escalate.

  • Every answer with source

    Chapter, page, paragraph. You see instantly what the statement is based on — or that it is not yet substantiated.

  • Challenge & dig deeper

    "Explain that in more detail", "Show me contradicting clauses", "Which norms contradict this commitment?" — the AI goes deep.

  • Drafts on demand

    Generate letters and presentations from the project context — as Word or PowerPoint files, ready for refinement.

  • Project-specific, not generic

    The AI only knows what you give it. No hallucination from training data — answers live from the current project context.

  • Accessible to every role

    Project managers, domain experts, procurement, legal — everyone finds in seconds what would otherwise take hours.

  • Human decides

    The AI provides the groundwork. Assessment and approval always remain with the expert.

Project assistant · Offshore demo project
indexed
Which corrosion-protection requirements apply to the offshore platform per contract?
3 sources

Contract §7.4 governs — the assistant links two further sources:

  • Contract §7.4: 20-year protection without scheduled maintenance.
  • ER 4.2.1: Corrosion category C5-M, coating per DIN EN ISO 12944-2.
  • TQ-2431: Coating-thickness test report open — response pending.
Example questions
Draft a response to TQ-2431 — with source citations.Does the bid contradict the contract on the acceptance criteria?Are there contract clauses that conflict with the current schedule?Which documents are overdue per schedule and block others?Show me all open TQs for chapter 4.2 of the specification.Which employer requirements are not yet addressed in the bid?
Impact

What tangibly changes.

Industry analyses show that domain experts spend 60–70 % of their time on document-related overhead instead of their actual work. veridaaa returns a large part of that time — without replacing any role. The effects are structurally identical at every scale.

Time on core work
Focusinstead of filing

Document management falls away — expert time flows into assessment and decision-making, where the leverage is greatest.

Review speed
Hoursinstead of days

Multiple expert agents review in parallel — full tender reviews instead of samples.

Review depth
Everyrequirement checked

Systematic instead of sample-based: the entire requirements catalogue is checked, missing evidence is flagged.

Today (without veridaaa)
  • Sample-based reviews — completeness not guaranteed
  • Days or weeks per bid review
  • Experts spend most of their time searching documents
  • Norms and contract knowledge sits with individuals
With veridaaa
  • Every requirement is checked — systematic instead of sample-based
  • Hours instead of days — regardless of project size
  • Experts work on decisions, not archives
  • Knowledge is in the system — scalable and traceable
Additional — often even bigger than the time savings

No new specialist hires

Norms experts and in-house lawyers cost fixed salaries — and are hard to find. veridaaa provides the groundwork; your existing experts decide as before, only better informed.

More projects in parallel

Shorter bid and review phases: the same team handles more tenders in parallel — without additional hires.

Less rework & penalties

Overlooked requirements are expensive — they lead to change orders in late project phases or to contract penalties. veridaaa surfaces them before the document leaves the house.

Fewer undetected requirements

A self-verifying multi-agent process checks every requirement systematically. The human expert becomes the safety net — no longer the only filter.

Focus over document flood

Experts are no longer burned on routine documentation. Lower churn, reduced burnout risk, lower recruiting costs — especially in markets tight on talent.

Audit trail included

Every comment is source-referenced (chapter, page, paragraph). Verifiability for certifiers, auditors and customers — without additional documentation effort.

Effects scale in both directions: from freelancer with one tender to large projects with complete project archives. Every review is signed off by a subject-matter expert — veridaaa replaces no one, it prepares the decision.

Ready to transform your review processes?

Create an account, download the desktop app, buy coins, review your first document — all within minutes. For volumes beyond 5,000 coins or individual terms: enterprise contact below.