Autonomous AI Intelligence Platform

DETECT
RISK.
DECIDE
FASTER.

Soluntra is a multi-agent AI platform that helps European SMEs detect operational risks, identify hidden inefficiencies and make smarter decisions — autonomously.

6
AI Agents
GDPR
First Architecture
€300K
Development Budget
EU
Cloud Infrastructure

SMEs ARE
FLYING BLIND

  • Operational risks go undetected until it's too late
  • Analytics require dedicated teams most SMEs can't afford
  • Data sits in silos — no unified intelligence layer
  • AI tools are complex, opaque and hard to trust
  • Decision-making relies on gut feeling, not data
73%
of European SMEs say they lack the tools to detect operational issues before they become critical — Soluntra changes that.
EXPLAINABLE AI
Every recommendation comes with a clear explanation. No black boxes — just actionable intelligence your team can trust and act on immediately.
Platform

SIX MODULES.
ONE INTELLIGENCE.

01 — LAYER
Data Ingestion Layer
Connects to your existing data sources — ERP, CRM, databases, APIs. Normalizes and streams data into the Soluntra intelligence pipeline in real time.
02 — ENGINE
Analytics Engine
Processes multi-source data streams using statistical models and ML algorithms to surface patterns, correlations and operational metrics automatically.
03 — AGENTS
AI Agent Layer
Six specialized autonomous agents work in parallel — collecting, analyzing, scoring, predicting and reporting so you don't have to.
04 — RISK
Risk Intelligence System
Continuously scores operational risk across all business dimensions. Flags emerging threats before they escalate, with priority-ranked alerts.
05 — DASHBOARD
Executive Dashboard
A clean, real-time command center for leadership. KPIs, risk scores, trend signals and AI recommendations — all in one view, no data science degree required.
06 — REPORTS
Reporting & Alert System
Automated PDF executive reports, threshold-based alerts and scheduled digests. Stay informed without having to ask.
AI Architecture

MEET THE
SIX AGENTS

Six autonomous AI agents work in parallel inside Soluntra — each specialised, each explainable, each operating 24/7 without human intervention.

01
Active · Streaming
Data Collection Agent
The foundation of the entire platform. Connects to every data source your business uses, pulls data on a continuous schedule and normalises it into a unified format — so every other agent works from the same clean, reliable picture.
  • Connects to PostgreSQL, MySQL, Google Sheets, REST APIs, CSV exports and more
  • Validates incoming data — detects schema changes, missing fields, type mismatches automatically
  • Deduplicates records and handles merge conflicts across sources
  • Streams data on configurable schedules: from real-time (webhooks) to hourly batch sync
  • Logs every ingestion event with full audit trail for compliance
PostgreSQL REST API Google Sheets Webhooks ETL GDPR Audit Log
02
Active · Monitoring
Anomaly Detection Agent
Never sleeps. Continuously scans every metric and data stream for deviations that don't belong — spikes, drops, unusual patterns, silent failures. Catches problems before they become crises, without a single alert threshold set manually.
  • Z-score and IQR outlier detection on all numeric metrics in real time
  • Seasonal decomposition — distinguishes genuine anomalies from weekly or monthly cycles
  • Multi-metric correlation: detects when two metrics move together unexpectedly
  • Silent failure detection: flags metrics that go suspiciously quiet (no data where data is expected)
  • Severity scoring 0–100 on every detected event — prioritise what matters
Z-Score IQR Time Series Correlation Real-time Severity 0–100
03
Active · Analysing
Risk Analysis Agent
Turns raw anomalies into structured risk assessments. Every flagged event gets evaluated across multiple business dimensions — financial, operational, reputational — with a clear severity rating, impact estimate and root-cause hypothesis.
  • Multi-dimensional risk scoring: Financial / Operational / Reputational / Compliance
  • Impact estimation in monetary terms where data is sufficient (e.g. projected ARR loss)
  • Root-cause hypothesis generation using LLM reasoning over business context
  • Risk propagation mapping — shows how one issue may cascade to other business areas
  • P1 / P2 / P3 priority classification with escalation triggers for critical events
Risk Matrix LLM Reasoning Impact €€ P1/P2/P3 Cascade Map
04
Learning · Calibrating
Behavioral Intelligence Agent
The only agent that gets smarter every week. Builds a dynamic model of how your specific business operates — your seasons, your rhythms, your normal fluctuations — so alerts become sharper and false positives disappear over time.
  • Learns business-specific baselines: your Monday traffic, end-of-month invoicing surges, seasonal patterns
  • Reduces false positives over time — distinguishes planned events from genuine threats
  • Detects early warning signals: subtle multi-week trend shifts before they become crises
  • Customer and user behaviour segmentation — flags anomalies at cohort level, not just aggregate
  • Continuously retrains on new data — model improves without manual intervention
Pattern Learning Baseline Model False Positive ↓ Cohort Analysis Auto-retrain
05
Active · Recommending
Recommendation Engine
The agent your team actually talks to. Takes every risk signal and turns it into a concrete, human-readable action plan — complete with the reasoning behind it, the expected outcome and a confidence score. Full Explainable AI, no black boxes.
  • Generates 1–3 specific, actionable recommendations per risk event in plain language
  • Explains the full reasoning chain: what was detected → why it matters → what to do → expected impact
  • Confidence scoring per recommendation (0–100%) based on data quality and model certainty
  • Tracks recommendation outcomes — learns from accepted vs dismissed actions over time
  • Prioritises by business impact: highest-value actions surface first, every time
Explainable AI GPT-4o Claude API Confidence Score Outcome Tracking
06
Idle · Scheduled
Executive Reporting Agent
Leadership shouldn't have to dig through dashboards. This agent compiles everything — anomalies, risk assessments and recommendations — into polished, structured PDF briefings. The right information, at the right level of detail, for the right person.
  • Generates PDF executive briefings on a weekly, bi-weekly or monthly schedule — automatically
  • Adapts level of detail by audience: board summary vs operations deep-dive
  • Includes trend charts, risk heatmaps and KPI delta tables generated from live data
  • Threshold-based instant alerts: sends email/Slack notification when risk score exceeds set level
  • Full audit trail of all reports generated — supports regulatory and compliance requirements
PDF Auto-gen Email / Slack Scheduled Heatmaps Compliance Multi-audience
Agent execution pipeline — data flows left to right
Data Collection
Ingest & validate
Anomaly Detection
Scan & score
Risk Analysis
Assess & map
Behavioral Intel
Learn & calibrate
Recommendations
Explain & advise
Executive Reports
Compile & deliver

BUILT FOR
EUROPEAN
BUSINESS

Soluntra is designed for growing businesses that generate data but lack the infrastructure to turn it into intelligence. If you run operations, you need Soluntra.

SMEs & Mid-market
E-commerce
SaaS Businesses
Fintech Startups
Logistics Companies
Digital Agencies
Enterprise Operations
Technology

PRODUCTION-GRADE
FROM DAY ONE

Frontend
Next.js React Tailwind CSS
Backend
FastAPI NestJS
Data
PostgreSQL Redis Vector DB
Infrastructure
Docker OVHcloud Hetzner
AI / ML
Multi-Agent Explainable AI Vector Search
Compliance
GDPR-first EU Cloud Data Sovereignty
Product Build Plan

FROM IDEA
TO TRL 6
IN 6 MONTHS

1
Basic Research
2
Concept
3
Proof of Concept
4
Lab Validation ← Now
5
Real Environment
6
Demo ← Goal
7
Prototype
8
System Complete
9
Market
Current: TRL 4
Target: TRL 6 by Nov 2026 → EIC Pre-Accelerator eligible

Five technical layers assembled in sequence — each one building on the last:

STEP 01
Data Ingestion Layer
Weeks 1–3 · Jun 2026
Connect to one real data source (PostgreSQL or Google Sheets). Normalize into JSON, store in database, schedule updates every 15 minutes via cron.
gspread pandas SQLAlchemy PostgreSQL
STEP 02
Analytics Engine
Weeks 4–7 · Jul 2026
Statistical anomaly detection without AI — moving averages, Z-score outliers, IQR thresholds, period-over-period comparison. First working alerts.
NumPy SciPy scikit-learn
STEP 03
First AI Agent
Weeks 8–11 · Aug 2026
LLM-powered agent that reads anomalies and outputs structured JSON with risk assessment, root cause explanation and 3 concrete action items. Full Explainability.
LangGraph OpenAI GPT-4o Claude API
STEP 04
Executive Dashboard
Weeks 10–13 · Sep 2026
MVP in Streamlit (2 days), then production-grade Next.js dashboard with real-time KPIs, risk scores, trend charts and AI recommendations — all in one view.
Streamlit Next.js FastAPI Recharts
STEP 05
Pilot Client #1
Month 4 · Sep 2026
Onboard first real SME client with a signed Letter of Intent. Collect measurable KPIs over 60 days. Document results for EIC grant application.
LoI signed 60-day KPIs TRL 5
STEP 06
Multi-Agent System
Months 5–6 · Oct–Nov 2026
All 6 agents running in parallel via LangGraph. Second pilot client. PDF auto-reports. Full Next.js dashboard. TRL 6 achieved — ready for EIC Pre-Accelerator.
LangGraph CrewAI 2 pilots TRL 6 ✓
JUN 2026
Data Ingestion + Analytics Engine
TRL 4
JUL 2026
Dashboard MVP (Streamlit)
TRL 4
AUG 2026
First AI Agent (LLM-based)
TRL 4→5
SEP 2026
Pilot Client #1 + Next.js
TRL 5
OCT 2026
Agent #2 + PDF Reports
TRL 5+
NOV 2026
Pilot #2 + All 6 Agents
TRL 6 ✓

UP TO €6M
IN GRANTS

Three waves of Estonian and EU-level funding — EIS national grants, EIC Pre-Accelerator and EIC Accelerator — sequenced to match Soluntra's TRL growth stage.

Wave 1 · EIS Estonia · Now
Starditoetus + R&D Employee Grant
€20K
Wave 2 · EIS + EIC · 2027
Applied Research + Pre-Accelerator
€1M+
Wave 3 · EIC Accelerator · 2028+
Development Grant + EIC Scale-up
€3M+
Total potential 2026–2028 €3–6M
Roadmap

FIVE PHASES
TO SCALE

PHASE 01
Tech Core Build
Data Ingestion → Analytics Engine → First AI Agent. MVP dashboard. Jun–Aug 2026. TRL 4→5.
PHASE 02
Pilot Clients
2–3 signed pilot SMEs. Real data, measurable KPIs over 60 days. TRL 6 achieved. Sep–Nov 2026.
PHASE 03
Grant Applications
EIS Starditoetus + R&D grant (2026). Applied Research Programme + EIC Pre-Accelerator (Nov 2027).
PHASE 04
AI Expansion
All 6 agents fully deployed. Predictive risk features. Cross-source analytics. Enterprise dashboard. 2028.
PHASE 05
Scale & EIC
EIC Accelerator (€2.5M+). White-label offering. International expansion across EU markets. 2028+.
Budget

€300,000
INVESTMENT PLAN

Product Development
€110K
AI / ML Systems
€60K
Infrastructure
€25K
UX / UI Design
€20K
Market Validation
€25K
Compliance & Legal
€20K
Pilot Programs
€20K
Project Management
€10K
Reserve Fund
€10K

EUROPEAN
AI. BY DESIGN.

Soluntra is registered in Estonia — a top-ranked digital nation inside the EU. This unlocks both national EIS grants and EU EIC funding. Total grant potential: up to €6M across three waves.

EIS Starditoetus
Applied Research
EIC Pre-Accelerator
GDPR-First
EU AI Act
e-Residency
Get Started

READY TO
SEE CLEARLY?

Join the waitlist or request a private demo. Soluntra is launching its pilot program for European SMEs.

Request a Demo → Learn More
All systems operational
00:00:00
SOLUNTRA
Intelligence Platform
Overview
Operations
Anomalies2
AI Agents
Recommendations3
Data Sources
Reports
Grants
A
Admin User
admin@soluntra.ai
Soluntra Intelligence Platform
Risk Score
72
High — action needed
Anomalies Today
5
▲ 150% vs yesterday
Active Agents
5/6
1 in learning mode
Operations Today
1,847
avg 38ms response
Pending Actions
3
recommendations
Operational Risk
72 RISK SCORE
⚠ High — 2 critical signals
Latest Anomalies
Revenue drop −34% vs last week
Sales DB · 14:32
94
Churn rate spike in Enterprise segment
CRM · 13:58
81
API response time +220ms above baseline
Infra Monitor · 12:14
63
Support ticket volume +48% YoY
Zendesk · 11:03
57
P1 · RevenueConfidence: 91%
Investigate Enterprise churn root cause
3 enterprise clients showed disengagement signals 14 days before cancellation.
+€24K ARR
Data Collection
ACTIVE
87%
Anomaly Detect
ACTIVE
64%
Risk Analysis
ACTIVE
91%
Behavioral Intel
LEARNING
43%
Recommendations
ACTIVE
72%
Exec Reports
IDLE
12%