Timeseer.AI
- Company typePrivate
- Founded2020
- HeadquartersAntwerp, Belgium
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Timeseer.AI firmographics
Firmographics- Name
- Timeseer.AI
- Legal name
- AI-Blox
- Website
- https://timeseer.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Timeseer.AI industry classification
Industry- Product category
- Industrial Data Observability
- NAICS
- Computer Facilities Management Services (541513)
- SIC
- Industrial Instruments For Measurement, Display, And Control (3823)
- akta.pro primary industry
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
- akta.pro secondary industries
- Model Monitoring, Drift & Behavioral Anomaly Detection (HDAAAKAF), Industrial Automation Software (SCADA, HMI, MES, Historian) (IMAHAHAJ), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)
Keywords
Where Timeseer.AI is headquartered
LocationHeadquarters
- HQ city
- Antwerp
- HQ country
- Belgium
- HQ region
- Europe
Offices1 record
Markets served
Timeseer.AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure
Revenue model
- Software Platform Subscription: Subscription-based SaaS or on-premise licensing model for the industrial data validation platform. Platform features include Detect, Validate, and Resolve capabilities for sensor data quality assurance.
- Professional Services: Implementation, consulting, training, and managed services delivered through channel partners including systems integrators and regional distributors.
Go-to-market motion3 records
Distribution channels6 records
Marketing channels3 records
Timeseer.AI product offering
Product offeringCore offering
Timeseer.AI provides an AI-driven Industrial Data Validation Platform that detects, validates, and resolves data quality issues in industrial sensor and IIoT time-series data. The platform automatically identifies anomalies such as flatlines, spikes, and drifts across sensors, validates whether data is fit-for-purpose, and enables manual or automated data cleaning, with deployments available as on-premises, customer-managed cloud, or fully managed SaaS.
Product overview
Timeseer.AI offers the Industrial Data Validation Platform, a unified DataOps solution consisting of three core modules: Detect (AI-powered anomaly detection), Validate (data quality verification and root-cause analysis), and Resolve (manual/automatic cleaning and incident handling). The platform integrates with enterprise historians (AVEVA PI, GE Historian, AspenTech), analytics tools (Seeq, TrendMiner, Cognite), data warehouses (Snowflake, Databricks), and cloud platforms (AWS, Azure). Supporting infrastructure includes the open-source Kukur connectivity library and a Python SDK. Timeseer is available as on-premises, customer-managed cloud, or fully managed SaaS deployment, and is listed on both Microsoft Azure and AWS marketplaces.
Differentiator
Problem solved
Functional benefit
Products and services
- Timeseer Industrial Data Validation Platform A sensor data quality platform that helps industrial organizations detect, validate, and resolve data issues at scale. Uses AI-driven detection, incident grouping, and smart resolution workflows to ensure sensor data is reliable, fit for its intended use, and ready to power operations, analytics, and AI.
- Kukur Open-source connectivity library that allows new integrations to be built in hours, enabling connection to virtually any data source beyond out-of-the-box OT, IoT, and time-series data platforms.
Quantifiable outcome
- 75% reduction in false alerts from AI models in production
- +4 more outcomes
Companies that use Timeseer.AI
Customer profileNamed customers19 records
Segments4 records
Ideal customer profiles4 records
Timeseer.AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability3 records
Feature9 records
Timeseer.AI partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core.
- InSource Solutions GroupcoreNorth American distributor and AVEVA Select Partner. Provides consulting, implementation, training, and managed services for industrial digital transformation across the full lifecycle from strategy to adoption.
- AVEVA Select ScandinaviacoreRegional distributor for Scandinavia under Analytics For Industry brand. Specializes in Operational Data Platforms, Industrial Data Science, sensor data quality monitoring, and energy monitoring solutions. 50+ OT professionals supporting in 12 languages.
- AVEVA Select BeneluxcoreRegional distributor for Benelux under Analytics For Industry brand. Specializes in Operational Data Platforms, Industrial Data Science, and sensor data quality solutions.
- CimsoftcoreCanada-based AVEVA Select Partner in Eastern Canada. Part of InSource Solutions Group. Delivers consulting, implementation, training, and managed services for industrial digital transformation.
- AVEVA Select BrasilcoreBrazil distributor representing Paragon Tecnologia automation division. Only full-portfolio AVEVA distributor in Brazil with 30+ years experience and 1,200+ projects in analytics, electrical engineering, and industrial automation.
- AmiteccoreEuropean consulting and technology company (Germany/Scandinavia) helping industrial businesses turn process data into insights. Since 1994, with deep knowledge of PI System from AVEVA and Seeq. Expanded in 2023 by acquiring Werusys for Central Europe coverage.
- OrisecoreSystem-agnostic integration partner for Europe with decades of expertise in complex industrial processes. Delivers real transformation at every level of operations and continuous improvement.
- QBD GroupcoreLife sciences and healthcare specialist founded 2011 by Bart Van Acker. Headquarters in Belgium with affiliates in Netherlands, Spain, UK, Switzerland, Austria, Poland, and Colombia. Provides regulatory affairs, clinical trials, qualification/validation, quality assurance, and software services.
- AccenturecoreGlobal systems integrator providing consulting, implementation, and managed services for enterprise digital transformation projects.
- Swan BlackcoreFood & Beverage specialist certified partner. Empowers F&B teams with operational insights for batch and continuous manufacturing. Provides high-engagement Customer Success program for sustainable, scalable outcomes.
- Analytics for IndustrycoreEuropean partner (also operates AVEVA Select Benelux and Scandinavia brands). Specializes in Operational Data Platforms, Industrial Data Science, sensor data quality, and energy monitoring solutions.
Scale indicators8 records
Recent moves6 records
Timeseer.AI competitors and assessment
Company assessmentDirect peers
- Seeq: Seeq is a process manufacturing analytics platform built on top of industrial time-series data (PI System, OSIsoft historians). Like Timeseer, it serves process engineers and data scientists in chemicals, pharma, and utilities, and integrates with the same AVEVA PI ecosystem. Both compete for budget on industrial analytics and data quality initiatives.
- Falkonry: Falkonry provides AI-based anomaly detection and predictive analytics for industrial time-series data, including its LRS product for industrial data quality. It directly overlaps with Timeseer's Detect/Validate modules in identifying sensor issues on operational data without manual rule authoring, and serves similar manufacturing and process industry customers.
- TrendMiner (Software AG): TrendMiner is a self-service industrial time-series analytics tool now owned by Software AG. It was founded and staffed by many of the same team that later founded Timeseer.AI, making it the most domain-overlapping peer: same end users (process engineers), same data sources (PI, historians), and adjacent use cases around sensor data exploration and anomaly hunting.
- Cognite: Cognite is an industrial data operations platform (Cognite Data Fusion) that contextualizes sensor/OT/IT data for industrial customers. It competes with Timeseer on the data quality and contextualization layer that AI/analytics workloads require, and is one of Timeseer's listed integration partners. Both target the same regulated industrial customers pursuing AI and digital transformation.
- Uptake: Uptake is an industrial AI and IoT analytics platform serving asset-heavy industries (rail, energy, manufacturing) with predictive maintenance and asset performance use cases. Like Timeseer, it ingests sensor streams and applies AI to surface operational issues, making it a comparable specialized AI platform competing for the same industrial AI budget.
Broad incumbents
- AVEVA: AVEVA owns the PI System, the dominant industrial historian, and offers a broad portfolio of industrial software (HMI, MES, simulation). It is one of Timeseer's largest channel partners but also a potential competitive threat as AVEVA expands native data quality, analytics, and AI offerings on top of its installed base of PI customers.
- Databricks: Databricks is a unified data and AI platform with native data quality features (Databricks Quality, DLT expectations) and a growing industrial vertical practice. As a Timeseer integration partner it is complementary today, but its expanding data reliability and observability capabilities could compete for the same budget, especially as customers consolidate onto lakehouse architectures.
- C3.ai: C3.ai is an enterprise AI application platform that serves industrial customers in oil & gas, manufacturing, and utilities with predictive maintenance and process optimization use cases. It overlaps with Timeseer on the AI-for-industrial-data opportunity, though it operates at a much broader portfolio level rather than specializing in sensor data quality.
- Aspen Technology: AspenTech is a leading supplier of asset optimization and process manufacturing software, including its DMCplus, aspenONE, and Aspen Mtell products. Its Mtell offering competes directly with Timeseer on AI-based anomaly detection for industrial sensors, while its broader portfolio targets many of the same chemicals and life sciences customers.
Emerging players
- Element Analytics: Element Analytics provides an industrial analytics and data operations platform focused on time-series sensor data contextualization and asset hierarchies for industrial customers. Its focus on OT/IT data unification and AI readiness overlaps closely with Timeseer's value proposition, making it a comparable emerging peer in industrial data operations.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Timeseer.AI social profiles
Digital presenceTimeseer.AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Timeseer.AI leadership team
Management profileNumber of profiles
Profiles7 records
Timeseer.AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Timeseer.AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Timeseer.AI
What does Timeseer.AI do?
Timeseer.AI provides an AI-driven Industrial Data Validation Platform that detects, validates, and resolves data quality issues in industrial sensor and IIoT time-series data. The platform automatically identifies anomalies such as flatlines, spikes, and drifts across sensors, validates whether data is fit-for-purpose, and enables manual or automated data cleaning, with deployments available as on-premises, customer-managed cloud, or fully managed SaaS.
Is Timeseer.AI a public or private company?
Timeseer.AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Timeseer.AI founded?
Timeseer.AI was founded in 2020. It employs 11 to 50 people.
Where is Timeseer.AI based?
Timeseer.AI is headquartered in Antwerp, Belgium, in the Europe region.
How does Timeseer.AI make money?
Two revenue lines are on record. Software Platform Subscription is the primary driver. The others are professional Services.
Who are Timeseer.AI's main competitors?
Direct peers on record are Seeq, Falkonry, TrendMiner (Software AG), Cognite and Uptake. Broad incumbents are AVEVA, Databricks, C3.ai and Aspen Technology. Element Analytics is listed as an emerging player.
Does Timeseer.AI have an API?
Yes. Timeseer provides robust APIs and a Python SDK, allowing teams to automate workflows, build custom integrations, and embed data quality checks directly into their applications. The platform supports GitOps-enabled workflows, enabling version-controlled configurations and smooth integration into modern DevOps and data engineering practices. Timeseer integrates seamlessly via APIs and webhooks, allowing alerts and insights to flow directly into existing incident and workflow tools.
What industry is Timeseer.AI in?
Timeseer.AI's product category is Industrial Data Observability. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAAAKAF, Model Monitoring, Drift & Behavioral Anomaly Detection. Its NAICS code is 541513 and its SIC code is 3823.