FinOpsly
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
Learn more
DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Learn more
Makersite
High-quality, scalable software platform that is hosted in the Cloud and delivers real-time services. Analyze products in the areas of sustainability, costing compliance, EHS, EHS, and supply chain risk. Expert services and domain support from industry experts with combined industry experience of over 50 years. It's something you may have heard before, but we won't stop reminding you that up to 90% of environmental impacts for manufacturing companies stem from the supply chain. It is unlikely that a company will know where their emissions are coming from in the supply chain. Makersite allows emission reporting and management for Scope 1, 2 and all 15 Scope 3 categories. Connect data from multiple systems such as packaging, design, compliance, procurement. Automated modeling and simulation of supplier-specific raw materials supply chains and auxiliaries.
Learn more
The Observer XT
The Observer XT stands out as the most comprehensive software available for conducting behavioral research. It aids researchers in coding behaviors along a timeline, dissecting sequences of events, and seamlessly incorporating various data types within a fully equipped laboratory setting. Acting as the central hub of your research environment, The Observer XT allows for precise coding of behaviors from one or several videos, while also including audio and integrating data types like eye tracking and emotional responses to provide a holistic view of your findings. The ability to visualize and analyze results collectively is crucial, particularly when exploring time relationships, and this software excels in that area. Designed for optimal performance, The Observer XT facilitates the synchronous playback of multiple modalities, including video, screen recordings, location tracking, physiological data, eye tracking, and facial expressions, ensuring that all relevant information is harmoniously aligned for in-depth analysis. With its robust features, it empowers researchers to delve deeper into behavioral patterns and outcomes, making it an indispensable tool for any lab focused on behavioral studies.
Learn more
