Synthetic data generation

Apica provides an intelligent, pipeline-first telemetry data management platform that processes, enriches, and governs metrics, logs, traces, and events before they hit costly observability backends. Its Apica Ascent suite ingests and normalizes observability data, applies policy-driven governance, and delivers data to observability, security, analytics, and AI tools, powered by patented InstaStore technology.

AI-powered data maskingCI/CD integrationdata routing and filteringintelligent data subsettingKubernetes log reductionobservability storagesynthetic monitoringtelemetry pipeline processingtest data orchestration

Applied Computing Research Labs (ACRL) is a small business formed in 2023 by David R. Morrison. ACRL applies simulation analysis to compute platforms to eliminate bottlenecks, optimize costs, and improve resource utilization without risking production downtime, using advanced algorithms, applied mathematics, and machine learning. It is an open-source-first company focused on scheduling and optimization for distributed systems at scale, with experience running Kubernetes in production.

applied mathematicsautoscalingbenchmark dataset generationKubernetes cluster configuration tuningmachine learningobservabilityrecord-and-replay simulationscheduling and optimization for distributed systemssimulation analysistesting and deployment pipelines

CEB Metasystems is a technology development firm specializing in smart camera systems. For over 40 years it has helped customers design, develop, and deploy advanced electro optical camera systems, combining traditional aerospace knowledge with modern agile development processes and commercial off-the-shelf parts. It also provides solutions in Model-Based Systems Engineering, EO/IR Performance Modeling, and Synthetic Data Generation. Headquarters in Goleta, California, with an office in Los Alamitos, California, and a remote team in Baltimore, Maryland.

agile developmentcamera system deploymentcamera system designcamera system developmentEO/IR performance modelingmodel-based systems engineering

DataCebo develops SDV (The Synthetic Data Vault), enterprise software for building generative relational models of complex, interconnected databases inside a secure environment. These models are used to generate synthetic data, train and evaluate AI agents, simulate scenarios, and test software. Offerings include SDV Enterprise, SDV Community (an open-source Python library), SDMetrics, SDGym, and related tools.

benchmarking synthetic data generatorsdifferential privacygenerative relational modelssynthetic data evaluationtargeted sampling

DBbun develops executable simulators from research papers, technical reports, patents, images, and other real-world inputs, producing complete simulation bundles with runnable code, synthetic data, visualizations, and supporting documentation. Founded in September 2025 by Uri Kartoun, it is a SAM-registered U.S. small business that also creates artificially generated datasets, beginning with healthcare-related datasets.

AI and simulationdataset creationexecutable simulator development

Brian Demajh AI/ML Engineer & Researcher PhD computer scientist specializing in deep reinforcement learning, computer vision, and production ML systems. I build mission-critical AI for government, defense, and the enterprise, from novel research to deployed products. Git Hub Email About I'm an R&D-focused AI/ML engineer building innovative, scalable solutions for high-stakes environments. My work spans government and defense applications, early-stage startups, and Fortune-100 enterprises. My PhD research at UC Santa Barbara focused on deep reinforcement learning for closed-loop control of neural systems — building an end-to-end RL stack that ingests synchronized point-clouds of neural signals (microarray, EEG, f MRI) and learns guidance policies for both model-based and model-free control of neural subsystems. Research Expertise Deep RL (policy gradients, actor-critic, curriculum.

Bayesian filteringchurn predictioncomputer visiondeep reinforcement learningentity resolutiongraph linkingmulti-sensor fusionnumerical optimal controlQA chatbot developmentsemantic searchtrajectory optimization

DiffuseDrive develops an end-to-end automated data solution for physical AI, helping computer vision developers build autonomous machines faster. Its Atlas product generates real-world-grade synthetic data for training, validation, and edge case testing, matching EO and IR sensor characteristics and avoiding the sim-to-real gap. Founded by Bálint Pásztor and Roland Pintér, formerly of Bosch autonomous driving.

air-gapped deploymentdata acquisitionedge case testingEO and IR sensor simulationtraining and validation data

Akridata provides AI-powered visual inspection systems for automated, real-time defect detection. Its platform processes multimodal inputs (images, text, voice) and integrates into existing workflows. The company offers three solutions: Vision Assist (AI-assisted human inspection), Vision Command (AI-driven oversight for manufacturing), and Vision Copilot (AI for data science and model development). Founded in 2018, Akridata serves manufacturing, automotive, railway, medical, agriculture, and critical infrastructure sectors.

AI-powered visual inspectionautomated defect detectioncomputer visiondata curationdata labelingdeep learningpredictive maintenancereal-time analytics

Synthetik Applied Technologies is an innovative research and development company specializing in advanced computational modeling, physics-informed AI, and synthetic data solutions for complex real-world challenges in defense, security, energy, environmental resilience, transportation security, and insurance. It develops validated computational codes and solvers for blast, hypersonic, and seismic modeling, and provides AI-driven analytics and 3D data annotation.

3D data annotationblast modelingcatastrophe modelingcomputational fluid dynamicsgeospatial data analysishypersonic flow simulationmachine learningphysics-informed AIseismic analytics

IvySys Technologies, LLC is a deep-tech company founded in 2005 and located in the Washington DC Metro area. It provides AI-powered software solutions and services that enable government and commercial organizations to rapidly discover threats and opportunities while safeguarding sensitive information, with mission expertise ranging from cybersecurity to countering weapons of mass destruction.

AI/ML advanced analyticsAI securityCloud Engineeringdata ingestiondata integrationdata labelingfeature engineering

dbTwin generates safe synthetic clinico-genomic datasets with preserved biology and signals, reducing data access timelines from months to days without IRB delays or data use agreements. It was built specifically for high-dimensional, low-sample genomic and molecular datasets and validated in a joint pilot with Decode Health, published as a white paper. It runs inside the customer's environment so data never leaves it, and can be deployed on private cloud.

no deep learning, no training, no GPUspreserved biology and signalsprivate cloud deploymentruns inside customer environment