01
Built-in forecasting
Forecast future values
Built-in time-series foundation models forecast future values and can be activated simply in the product. Forecasts can show confidence intervals and be evaluated historically.
aCurve® Platform
CONNECT. DEMOCRATIZE. ACT.
aCurve is a web-based platform that brings sensor data from multiple sources into one shared operational view. By making operational data available and understandable across teams, it helps organisations interpret trends, follow up operations and build reports they can rely on day to day.
At a glance
What aCurve is
aCurve turns fragmented operational data into a structured and usable foundation for analysis, reporting and decision-making. Rather than adding another isolated tool, it creates a stable layer between raw sensor inputs and the people who need to act on them, resulting in a clearer workflow for monitoring, reporting and daily operations.
The challenge
When data exists,
but clarity does not
In many operations, sensor data is already there, but spread across different systems, formats and contexts. Without a consistent way to connect, structure and share it, the result is often manual work, uncertain reporting and limited operational overview. aCurve closes that gap by bringing a wide range of systems and sources into one structured environment for overview, analysis and reporting.
Built in Sweden
For control and trust in operational environments
Security First
Built for environments with rising security demands
Built to Scale
Start focused and expand over time
Clearer Reporting
Reduce manual work and improve consistency
Connect to systems already in use
How it works
See what's happening. Understand why. Improve what matters.
Connect
Bring together data from SCADA, historians, lab systems and IoT sources.
Analyze
Explore trends, correlations and anomalies with powerful self-service analytics.
Improve
Turn insights into better decisions, higher efficiency and improved process performance.
Explore aCurve
Explore the aCurve platform
aCurve brings together the parts needed to turn operational data into something teams can use: access to existing sources, long-term storage, models that support analysis, and a controlled way to share data with other systems.
01
Connectors & data sources
Connect the systems already in use
Bring together data from SCADA, historians, lab systems and IoT sources into one structured environment.
02
aCurve Historian
Keep operational data available over time
Store and structure time-series and operational data in a stable environment built for long-term use.
Models & AI
Put models to work on operational data
aCurve combines connected historical and real-time operational data with built-in forecasting, AI-assisted analysis and the ability to run customer models — putting models to work directly in operational workflows.
02
Detect deviations
Compare predictions with actual values
Compare actual process values with predictions to identify deviations, and support alerts when the process deviates.
03
AI Helper
Chat with your operational data
An AI assistant inside aCurve can use aCurve tools in the dashboard to analyse time-series data and statistics, surface insights and give recommendations that support process analysis and decision-making.
04
Control what AI can access
Permissions that fit your environment
Group and tag permission levels limit what users and AI can access. Where data must stay on-site, a locally hosted LLM can be used.
05
Bring your own model
Host your own models
Advanced users can host their own prediction models in aCurve by uploading ONNX files, then use them for live inference and evaluation.
AI-assisted recommendations
Combining history after a SCADA migration
After a SCADA migration between two systems, aCurve can recommend how tags and history from the two SCADA systems should be combined.
aCurve API
Make aCurve data available to other systems
aCurve Managed API is a documented, versioned REST API for controlled access to measurement data and selected write operations. Access is managed through individual keys, with permissions, optional IP scoping and rate limits configured per key.
01
Controlled access
Individual keys with token-based access
Create as many keys as needed, each with its own access rights. Keys can be scoped to specific IP addresses.
02
Fine-grained permissions
Read access by tag and group
Per-key read access can be controlled with fine-grained permissions based on tags and groups, so each key only reaches the data it is intended to. Write access can be granted or denied separately.
03
Protect the integration
Per-key rate limits
Rate limits can be set per key to help protect systems from overload.
04
Read and write data
Retrieve or update measurement data
Retrieve measurement data for one tag or many at once, across flexible time ranges and resolutions. Where write access is granted, tags can be created and new measurement values inserted.
05
Documented and traceable
Versioned REST API with OpenAPI
The REST API is documented and versioned, with an OpenAPI specification and interactive testing. A request log provides an audit trail of API calls.
Practical uses
Intended use cases include:
- Large screens
- Intranets
- Custom dashboards
- IoT sensors
- Other systems
- Custom connectors to aCurve
Certified management systems
Quality and information security, independently certified
Gemit Solutions AB’s management systems are certified according to ISO 9001 for quality management and ISO 27001 for information security management.
Certification issued by C1 Certification.
Outcomes teams can rely on
A shared operational overview
aCurve brings operational data into one shared view, making it easier for teams to explore trends, compare conditions and build a common understanding. Instead of chasing down spreadsheets, people can focus on decisions and improvement.
Outcomes teams can rely on
Detect deviations earlier
aCurve reduces the time and effort needed to collect, structure and publish operational reports. Instead of piecing together data from multiple systems, teams can work from a more reliable foundation with better traceability and fewer manual steps.
Outcomes teams can rely on
Understand performance drivers
aCurve makes it easier to explore trends, compare conditions and understand what is influencing performance over time. That creates a clearer basis for analysis, improvement work and more confident operational decisions.
What teams say about aCurve
aCurve gives us a powerful tool with unlimited possibilities to both process and create reports of data.
Michael Medóc
Process Engineer
Käppala Association, Stockholm Sweden.
Implementation steps
Get started without disrupting operations
aCurve is designed for step-by-step implementation in your existing environment. Start with a focused scope, connect the right signals, refine definitions, and deliver an operational overview your team can use from day one. Expand to more sources, analytics and routines as needs grow.
A
Scope
Define a focused scope by selecting the area, goals and signals that matter most.
B
Connect
Connect relevant systems and sources to bring data into one structured flow.
C
Refine
Refine signal definitions and configuration so the setup is ready to scale with confidence.
D
Deliver
Deliver dashboards, analytics and reports your team can use in daily operations.
Designed for long-term operations
Trust is built over time. It comes from consistent data, clear access control, reliable processes and the support needed to make the system usable in daily operations. aCurve is designed to help teams build an overview they can rely on month after month.
Security and access
Clear access control and controlled visibility.
Governance and consistency
Reliable definitions, traceability and consistency over time.
Support and adoption
Onboarding, guidance and ongoing support to build lasting routines.
Explore more industries
Where else aCurve can create overview
Explore how aCurve helps teams connect, structure and act on operational data across different environments.