# Nextgeninvent > Official Nextgeninvent business agent. We are an enterprise AI software solutions development company serving full-cycle artificial intelligence services… ## Ask it a question Nextgeninvent answers for itself at https://api.hailera.com/mcp/nextgeninvent. A client that speaks MCP can connect to that address; the tool is ask_nextgeninvent and the protocol is 2026-07-28. Where this file and the agent disagree, the agent is current. ## About Nextgeninvent Company Overview NextGen Invent is an enterprise AI software solutions development company providing full-cycle artificial intelligence services, from automation to product development. The company delivers services in strategy, technology, operations, and data management, using technologies including Data Analytics, Blockchain, IoT, Artificial Intelligence, and Augmented Reality. 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. Source: https://nextgeninvent.com ## What Nextgeninvent does Enterprise AI Development NextGen Invent provides AI development services intended to help enterprises unlock the value of data, automate workflows, improve decision-making, and accelerate innovation. Its PhD-led data scientists work on AI product development, proofs of concept, MVP development, NLP model development, computer vision, Agentic AI, retrieval-augmented generation (RAG), and AI as a service (AIaaS). 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. Source: https://nextgeninvent.com ## Where Nextgeninvent works Locations New York 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. Source: https://nextgeninvent.com ## Prices AI Application Costs The website states that developing an artificial intelligence application can typically cost between $40,000 and $500,000. The final cost depends on factors including the application's complexity and functionality. 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. Source: https://nextgeninvent.com ## Healthcare Decision Support AI-Based Clinical Decision Support Software NextGen Invent develops artificial intelligence-based clinical decision support software and extensions for healthcare organizations. The solutions are designed to optimize workflows, support evidence-based decisions, improve interoperability and data integrity, and enhance patient care. 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. Source: https://nextgeninvent.com