Evaluating LLM applications before they reach users
Without evaluation, every prompt or model change is a guess. How to build an evaluation practice for LLM applications that fits into normal software delivery.
AI engineering and intelligent systems
From agentic AI and intelligent automation to computer vision and enterprise software, Plenware engineers technology that turns complex challenges into practical business outcomes.
Capabilities
Plenware combines AI engineering, software development, intelligent automation, computer vision, and IoT. That means we can deliver complete systems, from the data and models to the integrations and interfaces people use every day.
What we build
Six kinds of systems we engineer most often, each connected to the services and solutions behind it.
Tool using agents and assistants that plan, act through your systems, and ask a person before consequential steps.
See how we build itRAG assistants and semantic search that answer from your documents with citations and respect permissions.
See how we build itAI SaaS platforms, decision support tools, and LLM features built into the products you already run.
See how we build itDetection, tracking, pose estimation, and inspection models that turn cameras into a source of insight.
See how we build itInbound and outbound voice agents for booking, support, and qualification, connected to CRM and telephony.
See how we build itOptimized inference on NVIDIA Jetson and connected sensors for real time monitoring where data is created.
See how we build itIndustries
Each sector has its own constraints, regulations, and opportunities. We design for them specifically.
Knowledge retrieval, document intelligence, and workflow automation that give clinical and administrative teams more time for patients.
Adaptive learning, AI tutoring, and learning analytics that respond to each student and give educators clearer insight.
CV parsing, candidate matching, interview assistance, and recruitment automation that give recruiters structured insight while people make the decisions.
Visual quality inspection, predictive maintenance, and edge monitoring for operations where downtime and defects are expensive.
Traffic analytics, crowd intelligence, and infrastructure monitoring processed at the edge for responsive, efficient public operations.
Manuscript analysis, literature intelligence, and research knowledge retrieval for universities, laboratories, and publishers.
LLM features, RAG architectures, multi agent systems, and AI infrastructure built to the standards of your existing product.
Products
Alongside client engineering, we develop our own products for healthcare, recruitment, education, research, and business automation.
How we work
A delivery method that starts with your objectives and continues after launch.
Understand the business, users, workflows, challenges, and objectives.
Identify the appropriate technology, architecture, data requirements, and implementation roadmap.
Design and develop the solution using suitable AI models, software frameworks, and integrations.
Connect the solution with existing business systems, infrastructure, and operational workflows.
Implement, test, optimize, and deploy production ready systems.
Monitor performance, improve capabilities, and support future development.
Technology
We choose tools per problem. These are the foundations our teams work with most.
Model development, training, and classical ML.
LLM applications, orchestration, and retrieval.
Storage, vector search, and deployment.
Visual models and on device inference.
Interfaces, services, and APIs.
Insights
Engineering guidance and points of view for business and technical decision makers.
Plenware at a glance
Plenware is an AI engineering and intelligent technology company. We design, build, and integrate intelligent software systems and develop our own AI products for healthcare, recruitment, education, research, and business automation.
Agentic AI systems, generative AI and RAG knowledge assistants, intelligent process automation, voice AI agents, computer vision and video analytics, edge AI on NVIDIA Jetson, IoT sensing systems, and custom AI software platforms.
Healthcare and life sciences, education and EdTech, human resources and recruitment, manufacturing and industrial operations, smart cities and infrastructure, research organizations, and technology and SaaS companies.
Large language models from OpenAI, Anthropic, and Google Gemini, LangChain and LangGraph orchestration, vector search with Qdrant and Pinecone, PyTorch and TensorFlow, OpenCV, MediaPipe, YOLO based detection, and NVIDIA Jetson edge deployment.
FrejaAI for conversational and voice AI, RecrubotX for recruitment intelligence, Reviewer for research manuscript analysis, LearnoviaX for adaptive learning, DoctorBotX for healthcare knowledge assistance, Bokafy for AI booking, and Medepad for digital healthcare.
Most engagements begin with a discovery conversation about your objectives, followed by a scoped plan covering architecture, data, and delivery. We then engineer, integrate, deploy, and support the solution. Organizations can also license our products or partner with us on new ones.
Tell us what you're trying to achieve. Our team will help identify the right technology, architecture, and implementation approach.
Natural, intelligent conversations powered by AI.
Explore FrejaAITransforming recruitment through intelligent candidate evaluation.
Explore intelligent recruitmentImproving research quality through intelligent manuscript analysis.
Explore ReviewerPersonalizing education through intelligent learning technology.
Explore LearnoviaXIntelligent conversational assistance for healthcare knowledge and workflows.
Explore DoctorBotXMaking customer interactions and bookings simple through AI.
Explore BokafySupporting smarter digital healthcare experiences.
Request a Medepad briefingWithout evaluation, every prompt or model change is a guess. How to build an evaluation practice for LLM applications that fits into normal software delivery.
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