Nextgeninvent

NextGen Invent follows a "Get Things Done" culture and a customer-first approach supported by industry knowledge, technical expertise, data science experience, and a globally connected delivery network.

Mission and Vision

• Mission: To be a trusted technology advisor and provide services in strategy, AI enablement, product development, and digital transformation.
• Vision: To pioneer solutions for formidable challenges while remaining true to the company's core values.

Core Values

• Be a Trusted Advisor
• Client Value Creation
• "Can-do" and Positive Attitude
• Integrity and Transparency
• Collaborative and Supportive
• Data Driven Decision Making

Company Experience

• 600+ successful project executions
• 100+ products brought to market
• 500+ AI/ML/NLP models
• 19+ years of proven track record
• 1,500+ years of combined experience stated on the website

NextGen Invent serves North America and Europe.

Services

• AI Data Strategy and Consulting: AI readiness and maturity assessments, ROI modeling, value forecasting, roadmap architecture, and accelerators. The company states that it has delivered 100+ AI roadmaps and has 20+ domain experts.
• Agentic AI Development: Intelligent copilots and multi-step agents using AutoGen Studio, Copilot Studio, Vertex AI, and crewAI, including workflow orchestration, LLM selection, prompt optimization, and infrastructure assessment.
• AI/ML Model Development: Custom models, forecasting and recommendation engines, speech recognition, reinforcement learning, data mining, annotation, labeling, and fine-tuning of proprietary and open-source LLMs.
• NLP Model Development: Document classification, clustering, dialog modeling, agents, statistical NLP, adaptive chatbots, and intelligent search.
• AI Product Development: Recommendation engines, NLP applications, predictive tools, embedded AI for mobile devices, POCUS AI, and custom integrated AI applications.
• MLOps: Version control, reproducibility, model performance monitoring, metrics, and infrastructure as code for deployment.

Example Use Cases

AI solutions described on the website support pricing recommendations, predictive maintenance, demand and sales forecasting, autonomous enterprise agents, remote patient care, patient risk analytics, financial asset management, and virtual health assistants.

Responsible AI Approach

NextGen Invent emphasizes human-in-the-loop design, explainable outputs, transparency, accountability, and compliance-driven frameworks.

What NextGen Invent Does

NextGen Invent helps organizations gain competitive advantage and create business value through technology, data, and innovation.

Core Offerings

• AI and Intelligent Automation: Applying artificial intelligence and intelligent automation to improve business competitiveness.
• Data-Led Transformation: Helping organizations monetize data and gain insights for growth.
• Product Development: Developing SaaS products designed to enhance customer experience.
• Technology Due Diligence: Providing unbiased assessments of data and technology for merger and acquisition decisions.

Additional Services

The company's service portfolio also includes:

• Artificial intelligence
• Computer vision
• Generative AI
• Data management and data analytics
• Internet of Things (IoT)
• System integration
• Cloud enablement
• DevOps automation
• AI and data strategy
• Regulatory compliance
• Product strategy and roadmap
• Blockchain
• Power Platform

Industries and Insight Areas

NextGen Invent publishes and works across areas including digital health, clinical information systems, provider operations, managed care, healthcare analytics, supply chain, demand forecasting, and manufacturing.

6800 Jericho Turnpike Suite 120W Syosset, NY 11791

Noida

10th Floor, Tower-C, Bhutani 62 Avenue, C Block, Phase 2, Sector 62, Noida Uttar Pradesh 201309

AI Policy

NextGen Invent is committed to the responsible, ethical, and secure use of AI through a structured Artificial Intelligence Management System (AIMS). The system governs AI systems and associated risks and supports:

• AI governance and leadership
• Defined purposes and appropriate guardrails
• Model version and lifecycle management
• Risk identification, assessment, and mitigation
• Compliance with applicable legal, regulatory, and ethical requirements
• Human oversight and accountability
• Transparency and continual improvement

The policy applies across the AI lifecycle, from development through deployment to retirement. Interested parties may obtain the detailed policy by contacting NextGen Invent on a need basis.

Lists Mission, Syosset, and Enterprise as a location. Names New York as a service area. Areas beyond these are not published.

For clinical information systems, cost varies according to feature complexity, technologies used—including AI, Generative AI, and IoT—integration requirements, and the organization's scale.

Development Timelines

AI product development timelines depend on project complexity and requirements:

• Simpler AI products may take 3–6 months.
• Highly sophisticated AI solutions with extensive features may take 10–18 months.
• Basic clinical decision support systems typically require 6–12 months.
• Advanced clinical decision support solutions with complex features may take 12–18 months.

The website notes that an agile approach can support flexibility, iterative progress, and timely delivery. NextGen Invent recommends consultation for a project-specific estimate and timeline.

Healthcare Software Capabilities

• PACS, RIS and Image Workflows: AI-based image analysis, abnormality detection, medical diagnosis support, imaging analysis, secure data encryption, and referral workflows.
• Laboratory Information Systems: Sample tracking, automated workflows, result reporting, regulatory compliance integration, fraud detection support, and integration with revenue cycle management and practice management systems.
• Outcomes Assessment and Digital Tools: Integration of electronic clinical outcome assessments and patient-, observer-, and clinician-reported outcome measures.
• Pharmacy Management and Prescribing: Inventory management, billing, controlled substance surveillance, e-prescribing, drug order management, and insurance processing.
• EHRs and Practice Management: Patient record digitization, prior authorization workflows, ePrescribing, CQM reporting, clinical dashboards, and real-time data integration.
• Clinical Documentation: Medical speech recognition, AI-powered copilots, intelligent administrative agents, automated clinical data capture, and predictive analytics for documentation.

Use Cases

Clinical information systems can support transitional care, laboratory management, pharmacy operations, accurate diagnostics, and improved patient care. They can provide real-time access to information such as allergies, medications, and medical history, helping reduce medication errors and duplicate tests.

Organizations Served

• Hospitals and clinics
• Laboratories
• Pharmacies
• Radiology centers
• Specialty practices

Integration and Standards

NextGen Invent states that it has expertise with EPIC, Cerner, Meditech, and Athena, as well as Redox, FHIR, HL7, and 835/837 standards. Its healthcare services include Azure and AWS FHIR implementations.