Senslytics offers a proprietary AI platform that utilizes domain expert knowledge to identify root causes of potential failures in energy operations, enabling engineers to make proactive maintenance decisions. By reducing the unpredictability of costly failures, the platform enhances maintenance budget efficiency and minimizes risks associated with asset management.
Funding
$1.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Energy operations face challenges in predicting and preventing costly failures, leading to inefficient maintenance budgets and increased risks associated with asset management. Existing solutions often lack transparency and rely on standard assumptions, hindering effective decision-making by engineers.
Solution
Senslytics offers an AI platform, CausX AI, that leverages domain expert knowledge to identify the root causes of potential failures in energy operations. The platform empowers engineers to make proactive maintenance decisions, optimizing maintenance budgets and minimizing risks. By providing reasoning for its predictions, Senslytics removes the "black box" effect of traditional AI solutions, enabling informed decision-making. The platform analyzes various data sources, including mud gas logs, drilling dynamics, and LWD data, to provide reliable insights and interpretations.
Target Audience
The primary users are engineers and energy professionals in the oil and gas industry responsible for maintenance, risk management, and operational efficiency.
Features
- Identifies root causes of potential failures in energy operations.
- Provides reasoning for predictions, eliminating the "black box" effect.
- Utilizes domain expert knowledge in petrophysics and geochemistry.
- Can work with limited data.
- Offers specific solutions like ResVoirX for reservoir fluid property estimation, CorroX for corrosion detection, and Contamination Monitoring for fluid sample analysis.
- Integrates with existing workflows through API connections or Excel uploads.
- Developing WITSML capabilities for continuous real-time data streaming.