Intuitive, enterprise applications for automating complex processes and workflows.
We improve the performance – and the outcomes – of complex processes for medium and large sized institutional organizations, particularly in the DoD and Federal sectors. These complex processes tend to be long-lived, involve the creation and updating of content spread across large documents, require collaborative contribution from multiple (and perhaps dispersed) team members, and need to be in compliance with many varied rules and policy directives.
Our core processing automation solutions help teams establish the plan to get the work done on time, position guidance and best practices for the team members just at the time of need, signals when the next work needs to be started to stay on track, and tracks progress in order to provide real-time status towards on-time completion. In addition, we utilize “bolt-on modules” of specialty processing to optimize the team’s plan and identify risks, support collaborative reviews with comment capture and voting, and enable content requirements traceability between parent and child documents.
Specifying and implementing complex behavior on hardware devices.
Hardware modeling and design capabilities focus on development of improved communication system integrity and low-level cyber security. This consists of everything from the development of RF physics models to networking simulations. At the physical layer, our hardware modeling capabilities are used to test the resiliency and capacity of RF communication waveforms. At the network level, our modeling capabilities are used to test everything from small embedded devices to expansive networked systems in order to assure specified network protocol standards are met. Our FPGA capabilities focus on cyber-security through anti-tamper algorithms, processes, and low-level virtualization.
Capture and comparison of executable As-Is and To-Be Models.
Model-based analysis allows repeatable, what-if analysis to determine the impact of changes and complex component interactions. This analysis allows systems to be modeled at various levels of abstraction to dig deep on certain high priority aspects.
Modeling and simulation techniques can be applied to model and automatically analyze various alternative implementations, with the objective of optimizing performance, resource allocation or Return-On-Investment (ROI). Manual, ad-hoc and experience-based methods to design, upgrade, or fine-tune such complex processes and systems often result in sub-optimal system performance or lower than anticipated ROI. Edaptive leverages its mature system capture framework, Syscape™, to develop an intuitive modeling environment for creating, and flexibly executing process and system models.
Innovative techniques for optimizing assets in complex operational scenarios.
Advanced algorithms can automate complex decision processes to reduce the burden on analysts when accurate results are needed quickly. This includes machine learning, data mining, and other techniques for transforming large, disparate data into actionable solutions. These capabilities involve integrating data from a variety of different data sources and autonomously generating hypotheses about interesting or anomalous occurrences. A network of intelligent sensors utilizing and sharing knowledge about the given domain, and working in coordination, has the ability to achieve an unprecedented sensing performance in a harsh and dynamic environment. A cooperative use of multiple sensory sources requires development of algorithmic strategies to optimally manage sensory resources to cover multiple threats in order to provide the best quality and performance.
Rigorous examination of SW/HW artifacts to identify problems and recommended protective solutions.
The use of formal verification techniques allows analysts to fully assure the correctness of the system. By utilizing requirements for safety and security aspects, these techniques can automatically check these properties and provide feedback to the user to mitigate any issues. Formal verification capabilities can automatically and exhaustively examine the entire state space of a system. This provides a higher confidence approach than traditional testing methods such as simulation or test vector generation, where possible scenarios may be missed. In addition, we provide capabilities to automate and improve the ease of use of these technologies to make them more cost effective for today’s complex problem areas.
Mature and institutionalized processes for producing quality products within predictable cost and schedule.
ECI’s processes have been appraised at Maturity Level (ML) 4 of the Capability Maturity Model Integration (CMMI). A Level 4 rating is reserved for processes that are quantitatively managed to ensure predictable and quality delivery of products and services to our customers. CMMI is a process model that provides a clear definition of what an organization should do to promote behaviors that lead to improved performance. ECI was one of only four companies in the United States to be appraised at Level 4 in 2014.
The benefits of quantitatively managed processes include reliable and continually improving cost, schedule, and performance results. Using historical data and models, ECI can accurately predict the cost, duration, and expected quality given a specified development task. This results in a predictable schedule that can be achieved without comprising the quality of the final product. In addition, the use of data management techniques allows ECI to be constantly improving its processes and achieving more accurate schedule prediction and quality results as program progress.
Brainstorming and decision making for large, distributed groups.
Edaptive decision optimizing software allow a group of users to participate in a collaborative brainstorming process to arrive at the best choice based on inputs from all invited users to a session. If a decision cannot be reached through the discussion process, Edaptive tools allow users to prioritize choices through voting and weighting. The voting results are analyzed through the Analytical Hierarch Process (AHP) which has been proven over time to be the right approach for such decision support needs. Whether stakeholders in a decision process are all located in the same office, or they are spread around the globe, Edaptive decision optimizing software will bring them together.
Process and Workflow Automation
HDL Modeling and FPGA Design
Model Based Analysis of Complex Processes and Systems
Advanced Algorithms for Resource Optimization
Formal Methods Based Verification
CMMI ML 4 Processes
OUR Core Competencies
Fuel OUR Capabilities
Mature development processes enabling quality delivery of software products across many platforms, including desktop, web-based, and enterprise applications.
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Creating executable specifications to reduce ambiguity in engineering and technical specifications and conduct technology trade-offs
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Enables analysis of both complex processes and systems to support what-if evaluation, predictive decision support and analytics, and strategic planning
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Innovative, mathematical rigorous techniques for solving difficult, data-driven problems
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ECI provides cost-effective research, development and professional services to its customers by leveraging its innovative product tool suites
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WITH PROVEN RESULTS