Enterprise intelligence compounds when memory does.
Our context engine connects documents, decisions and people into a living knowledge graph that improves with every interaction.
Series A · Investor brief 2026
Institutional memory.
Made intelligent.
Acervus turns fragmented enterprise knowledge into a trusted intelligence layer—so every decision starts with everything your organization already knows.
0knowledge objects indexed
0retrieval precision
0qualified pipeline
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01 / Executive summary
The operating system for what organizations know.
Knowledge is a company’s most valuable—and most underused—asset. Acervus makes it searchable, governable and actionable in seconds.
02 / The problemKnowledge grows.
Knowledge grows.
Clarity doesn’t.
Critical context is trapped across tools, teams and formats. People spend more time searching and recreating than deciding.
“We don’t have an information problem. We have a context problem.”— VP Operations, design partner
Fragmentation at scale
Overlapping tools create disconnected versions of truth.
Invisible knowledge loss
Context leaves every time a key employee does.
AI without trust
Generic assistants hallucinate without governed context.
03 / The solutionOne intelligent layer.
One intelligent layer.
Every source. Every decision.
⌘
What drove our highest-retention enterprise wins?
↵✦
SYNTHESIZED FROM 14 VERIFIED SOURCES
Implementation speed and cross-team adoption were the strongest predictors.
Accounts reaching three active departments within 45 days showed 2.7× higher retention. The pattern is consistent across EMEA and North America.
QBR AnalysisCRM CohortsCS Interviews+11
Confidence98%
Sources verified14 / 14
Time saved6.4 hrs
Connect
Unify scattered knowledge without migrating a single file.
Understand
Map entities, relationships and decisions into governed context.
Activate
Deliver cited answers and proactive intelligence in the flow of work.
04 / TechnologyA defensible context engine,
A defensible context engine,
built for the enterprise.
ACERVUSContext EngineGraph + Models + Policy
ConnectorsKnowledge graph
RetrievalGovernance
AgentsAnalytics
Source-aware retrieval
Hybrid search and graph traversal produce answers with traceable provenance.
Permission-native security
Every answer inherits source-level access controls and auditability.
Model-agnostic orchestration
Best-fit models balance quality, latency, sovereignty and unit economics.
Compounding data moat
Organization-specific graphs deepen with usage, creating durable switching costs.
05 / Market opportunityA category-defining shift
A category-defining shift
in how work gets done.
Generative AI is moving from horizontal copilots to secure, context-rich systems embedded in core workflows.
06 / TAM · SAM · SOMA large market.
A large market.
A focused entry.
We win first where knowledge is complex, regulated and high-value—then expand horizontally.
TAM€38BEnterprise knowledge & AI
SAM€9.4BEU + US mid-market
SOM€470M5-year target
Total addressable market
220k enterprises × €173k average annual platform spend.
Serviceable available market
52k regulated and knowledge-dense organizations.
Serviceable obtainable market
2,350 target accounts at €200k mature ACV.
07 / Competitive analysisBuilt for depth,
Built for depth,
designed for adoption.
Acervus combines the ease of a modern search product with the control and intelligence demanded by enterprises.
| Capability | Acervus | Enterprise Search | Generic Copilots | Legacy KM |
|---|---|---|---|---|
| Unified knowledge graph | ● | ◐ | ○ | ○ |
| Source-level governance | ● | ● | ◐ | ● |
| Proactive intelligence | ● | ○ | ◐ | ○ |
| Model independence | ● | ◐ | ○ | ○ |
| Time to value | Days | Months | Days | Months |
● Native◐ Partial○ Limited
08 / Business modelEnterprise SaaS economics.
Enterprise SaaS economics.
Usage-driven expansion.
Annual subscription
€36k–€240k/ yearTiered by indexed knowledge, active users and governance requirements.
- Core platform access
- Admin & governance
- Standard connectors
Usage expansion
€0.04/ actionConsumption-based intelligence actions create natural expansion revenue.
- Agentic workflows
- Advanced reasoning
- Proactive insights
Services & ecosystem
15–20%of ACVHigh-margin onboarding, premium integrations and partner-led services.
- Custom integrations
- Knowledge design
- Success programs
Target ACV€84k
Gross margin82%
CAC payback14 mo
LTV : CAC6.2×
09 / Go to marketLand with urgency.
Land with urgency.
Expand with value.
A focused enterprise motion turns one high-stakes workflow into a company-wide intelligence layer.
Design partners
Target operations, legal and R&D leaders with urgent knowledge pain.
€20–40k pilotProve value
Deploy in under 14 days and quantify search time, reuse and decision speed.
8–12 week proofExpand
Add teams, sources and agentic workflows via executive sponsorship.
124% target NRRScale ecosystem
Channel partners accelerate regulated verticals and international reach.
30% partner-sourced10 / Financial projectionsDisciplined growth.
Disciplined growth.
Compounding returns.
ARR · 2030€42.0M
Management case20262027202820292030
Forward-looking projections reflect management assumptions and are provided for discussion purposes; actual results may vary.
11 / RoadmapFrom intelligence layer
From intelligence layer
to category standard.
Foundation
Core graph, 12 connectors, security architecture, design partners.
CompleteProduct-market fit
Enterprise agents, EU market entry, repeatable sales motion.
NowScale
US expansion, partner channel, vertical intelligence packs.
NextPlatform
Developer ecosystem, autonomous workflows, global category leadership.
Vision12 / Investment roundRaising €8M
Raising €8M
to own the category.
Series A to scale go-to-market, deepen our proprietary context engine and establish Acervus as Europe’s enterprise knowledge intelligence leader.
13 / Use of fundsCapital deployed
Capital deployed
with precision.
Every euro is tied to a measurable product, revenue or market milestone.
€8MTotal raise
Product & AI
Context engine, agents, security and engineering talent.
Go to market
Enterprise sales, demand generation and US entry.
Customer success
Implementation, solutions and partner enablement.
Operations
Finance, legal, compliance and working capital.
14 / TeamBuilt by operators
Built by operators
who know the problem.
Enterprise software, applied AI and go-to-market experience united by one conviction: knowledge should compound.
AM
DC
SR
We’re building the defining company in enterprise intelligence.Join the team ↗
15 / The visionThe world’s most important
The world’s most important
decisions should never start
from zero.
Acervus gives every organization a memory that understands, learns and acts—turning accumulated knowledge into enduring advantage.
Build the future with us ↗16 / ContactLet’s build a company
Let’s build a company
that remembers.
We’re partnering with investors who share our long-term view of enterprise intelligence.
17 / AI VisionFrom document storage
From document storage
to organizational intelligence.
Acervus will evolve every document into an active, trusted source of context—understanding content, anticipating risk and accelerating decisions.
Documents are passive records
Teams manually classify, search, validate and interpret growing repositories.
Documents become active intelligence
Acervus reads, connects and acts on governed knowledge across every workflow.
Human accountablePrivacy by designExplainable by defaultModel independent
18 / AI Roadmap
A measured path to the Intelligent Document Management Platform.
Four product horizons turn trusted document infrastructure into a defensible intelligence system.
Understand
OCR, classification, entity extraction and semantic indexing across the full repository.
- Document Intelligence
- Semantic Search
- AI metadata
Assist
Grounded conversational workflows with citations, permissions and multilingual understanding.
- AI Assistant
- Intelligent Search
- Smart summaries
Protect
Continuous risk monitoring, retention automation and explainable compliance recommendations.
- Compliance AI
- PII detection
- Policy agents
Predict
Proactive intelligence anticipates bottlenecks, content needs and organizational risk.
- Predictive Analytics
- Autonomous workflows
- Decision intelligence
19 / AI Assistant
Every answer grounded in your truth.
A secure, multilingual copilot answers questions, summarizes complex files and executes document workflows—with citations down to the source passage.
- Ask naturallyUnderstand questions in Portuguese and English.
- Verify instantlyEvery claim links to its source and permission context.
- Act safelyDraft, classify and route documents with human approval.
✦ Acervus AssistantPrivate · Governed
Ask Acervus anything… ⌘ ↵
21 / Semantic SearchMeaning connects
Meaning connects
what folders cannot.
Multilingual embeddings and a domain knowledge graph reveal relationships between concepts, entities and documents—even when terminology differs.
Contract risk
Renewal clauseSupplier exposureNotice periodPrice indexationPolicy thresholdCompliance monitorLive
92/100
Repository compliance scoreRetention policiesAligned
PII exposure3 reviews
Access anomaliesNone
22 / Compliance AI
Continuous compliance, explainable by design.
AI identifies sensitive data, policy gaps and retention risks across the repository—then recommends auditable action under human control.
GDPRISO 27001EU AI ActData residency
23 / Document IntelligenceEvery file becomes
Every file becomes
structured, usable knowledge.
Acervus transforms unstructured content into reliable metadata, relationships and actions at ingestion.
Ingest
Any format, language or source.
Understand
OCR, classify, extract and connect.
Activate
Search, automate and analyze.
Entity recognition 98.4%Document classification 97.1%Key-value extraction 95.8%
24 / Predictive AnalyticsSee what needs attention
See what needs attention
before it becomes urgent.
Repository signals become forward-looking intelligence for operations, compliance and leadership.
Document risk forecastNext 90 days
Today30 days60 days90 days
25 / AI Investment Accelerator
Funding intelligence at platform scale.
€3.36M of the round is allocated to AI research, product development and production deployment—expanding applied research, model evaluation, responsible AI, inference infrastructure and specialist engineering.
42%of the round · Product & AI