Novus

What Novus does

Novus creates agentic systems and products, providing platforms where teams can turn tasks into working AI agents and manage everything in one place. They offer infrastructure for AI teams to build, orchestrate, and scale multi-agent systems with multi-model support, enterprise-grade security, and full workflow control across cloud, on-prem, or hybrid environments. Novus aims to make AI understandable, accessible, and genuinely useful, helping teams move beyond repetitive tasks to focus on what matters most. They transform enterprise operations with Dot and APIs that provide model-agnostic access to AI, delivering specialized agents, inter-agent orchestration, no-code tooling, and production-ready use cases.

Products

• DotThe agentic AI framework for enterprises. It unifies AI models, intelligent agents, and seamless app integrations into a single platform, enabling businesses to streamline operations, automate workflows, and enhance decision-making. It offers no-code customization and built-in optimizations for efficient scaling, eliminating manual tasks, and data-driven decisions. Dot orchestrates AI agents across enterprise systems to standardize decisions and scale automation in every industry, from knowledge management to operational workflows, compliance, and customer interactions.
• NanoThe orchestration layer for everything and everyone, designed for teams and individuals.
• Dot SalesA solution accessible through the Advanced plan, likely focused on sales-related AI applications.
• Dot FinanceA solution accessible through the Advanced plan, likely focused on finance-related AI applications.
• Dot ContentA solution accessible through the Advanced plan, likely focused on content-related AI applications.
• Dot OperationsA solution accessible through the Advanced plan, likely focused on operations-related AI applications.

Key capabilities

• Multi-model support
• Enterprise-grade security
• Full workflow control across cloud, on-prem, or hybrid environments
• Agentic systems and products
• Platforms to turn tasks into working AI agents
• Centralized management of AI agents
• Model-agnostic access to AI
• Specialized agents
• Inter-agent orchestration
• No-code tooling
• Production-ready Novus Use Cases
• Pay-as-you-go Novus tokens
• Access to agent library
• Access to workflows
• Access to Novus RAG (Interact with your documents for real-time insights, accurate answers, and dynamic updates)
• Plug & play apps
• Integration with enterprise systems
• Bring your own LLM
• Unlimited seat option (Enterprise plan)
• Unlimited integrations (Enterprise plan)
• Tailor-made use-cases (Enterprise plan)
• On-prem & cloud deployment (Enterprise plan)
• AI agents analytic dashboard (Enterprise plan)
• Real-time support (Enterprise plan)
• Build Custom AI Agents
• Build Custom AI Workflows
• Multilingual Generation
• Integration with Management Systems
• Access to Dot Originals
• Onboarding
• Integration with All Apps
• On-Premise Access to Dot Originals
• Run Your Own LLM in Dot
• Analytics & Reporting
• Hybrid Deployment
• Cloud Deployment
• Technical Knowledge Engine (Dot)
• Decision Orchestration (Dot)
• Customer & User Interaction (Dot)
• Workflow Automation (Dot)
• Unified Knowledge Intelligence (Dot)
• End-to-End Workflow Orchestration (Dot)
• Secure, Industry-Agnostic Deployment (Dot)
• Seamless App Integration for Enterprise Efficiency (Dot)
• Intelligent AI Agents and Business Workflow (Dot)
• Flexible Deployment Across Environments (Dot)
• Internal Control & Risk Assistant (Dot for Financial Services)
• Audit-Ready Reporting & Governance (Dot for Financial Services)
• Customer & Process Orchestration (Dot for Financial Services)
• Secure AI Deployment (Dot for Financial Services)
• Control & Governance Intelligence (Dot for Financial Services)
• Regulated Workflow Orchestration (Dot for Financial Services)
• Flexible, Institution-First Deployment (Dot for Financial Services)
• Technical Intelligence (Dot for Manufacturing)
• Sales & Product Optimization (Dot for Manufacturing)
• Voice-Based Ordering (Dot for Manufacturing)
• Pricing Decisions (Dot for Manufacturing)
• Operational Knowledge Intelligence (Dot for Manufacturing)
• Secure, Manufacturing-First Deployment (Dot for Manufacturing)
• Claim Processing (Dot for Insurance)
• Smart Claim Matching (Dot for Insurance)
• Policy Management (Dot for Insurance)
• Regulatory Compliance (Dot for Insurance)
• Automated Claims Intake (Dot for Insurance)
• Policy Management Automation (Dot for Insurance)

Use cases

• Turn tasks into working AI agents
• Manage AI agents in one place
• Find financing for SMEs with AI-powered assistance
• Simplify recruitment and immigration with AI Immigration Advisor and AI Job Assistant
• Manage archives simply and fast
• Enhance call center operations and improve patient communication
• Efficiently create high-quality evergreen content and improve team collaboration
• Improve data science, privacy, and customer experience in banking with on-premise AI
• Operationalize sustainability goals
• Knowledge management
• Operational workflows
• Compliance
• Customer interactions
• Standardize decisions and scale automation
• Centralize fragmented documents into a single AI-powered knowledge layer
• Analyze large document repositories across multiple systems
• Deliver context-aware answers with source-level references
• Reduce dependency on manual searches and individual expertise
• Operate securely with role-based access control
• Orchestrate complex processes into a unified, auditable AI decision layer
• Coordinate rules, data, and workflows across teams and systems
• Replace fragmented, manual decision-making
• Provide traceable and auditable decision paths
• Enable consistent, scalable outcomes across use cases
• Orchestrate end-to-end user and customer workflows across channels
• Detect intent and route requests to the right workflow
• Manage interactions from first contact to resolution
• Reduce misrouting and operational friction
• Ensure consistent experiences across digital and assisted channels
• Replace siloed processes with orchestrated AI-driven workflows
• Automate reporting, ordering, validation, and internal operations
• Integrate with ERP, CRM, and legacy systems
• Standardize workflows across teams and functions
• Enable production-grade AI beyond isolated PoCs
• Data processing in banking
• Regulatory compliance in banking
• Fraud detection in banking
• Customer personalization in banking
• Internal controls in financial services
• Risk management in financial services
• Audit-ready reporting and governance in financial services
• Customer-facing workflows in financial services
• Centralize internal control frameworks, risk inventories, and process documentation
• Analyze process documents, risk-control matrices, and internal frameworks together
• Produce contextual, reference-backed control and risk responses
• Escalate critical findings to relevant control and risk functions
• Generate standardized, audit-ready internal control and governance reports
• Reduce language and structure inconsistencies across audit teams
• Support parallel reporting across departments and group companies
• Preserve full traceability for audit and regulatory review
• Orchestrate multi-step, regulated financial workflows across systems
• Detect and classify user intent across channels in financial services
• Route requests through controlled, policy-aware workflows in financial services
• Coordinate document access, process steps, and system actions in financial services
• Log every step for transparency and regulatory inspection in financial services
• Integrate into existing banking infrastructures
• Technical knowledge in manufacturing
• Production operations in manufacturing
• Pricing in manufacturing
• Ordering in manufacturing
• Centralize fragmented technical documentation
• Analyze manuals, procedures, drawings, and schematics across multiple systems
• Deliver context-aware answers with document and page-level references
• Guide users directly to the correct technical source
• Orchestrate product specifications and ERP data for sales teams
• Answer technical product questions using structured product and ERP data
• Ensure consistency across quotations, configurations, and specifications
• Reduce dependency on manual lookups and expert intervention
• Integrate directly with ERP and product information systems
• Enable fast and accurate order creation via voice input
• Convert voice commands into structured product and quantity inputs
• Validate orders against product catalogs and business rules
• Create orders automatically with minimal manual intervention
• Reduce errors and processing time for field and sales teams
• Centralize pricing logic, tax rules, and campaign conditions for manufacturing
• Apply excise tax, vehicle tax, and campaign rules dynamically
• Support multiple pricing formulas with full rule traceability
• Enable scenario comparison and regulatory impact simulation
• Claim processing in insurance
• Policy management in insurance
• Regulatory compliance in insurance
• Customer support in insurance
• Centralize policy and claim knowledge for customer representatives
• Support supervised customer support with human-in-the-loop controls
• Validate information consistency using internal control and risk logic
• Integrate with core insurance platforms via APIs
• Match claims against policy terms using supervised AI workflows
• Apply rule-based and contextual checks to identify mismatches and inconsistencies
• Support human review and escalation before approvals are triggered
• Centralize policy knowledge to support customer representatives and internal teams
• Support supervised policy updates and categorization
• Maintain alignment with internal control and compliance requirements during policy changes
• Centralize regulatory documents, internal control frameworks, and audit records into a unified compliance layer
• Provide explainable, reference-backed assessments aligned with internal control and risk methodologies
• Continuously monitor processes and flag potential compliance risks
• Generate standardized, audit-ready reports with full traceability and historical context
• Structure scanned, handwritten, and digital claim documents into a single, validated data flow

AI approach

Novus provides an AI orchestration layer for enterprises, enabling teams to build, orchestrate, and scale multi-agent systems. It supports multi-model integration, enterprise-grade security, and full workflow control across various environments. The platform, Dot, centralizes fragmented data into an AI-powered knowledge layer, orchestrates complex processes into an auditable AI decision layer, and automates workflows with AI agents. It emphasizes no-code customization and integration with existing enterprise systems.

Tech named: LLMs, AI agents, multi-agent systems, RAG

Industries served

• Financial Services
• Manufacturing
• Insurance
• Healthcare
• Recruitment
• Media
• Any industry facing fragmented knowledge/data, manual processes, point solutions, security/governance/legacy constraints

What it says sets it apart

• Agentic AI framework
• Orchestration layer for multi-agent systems
• Multi-model support
• Enterprise-grade security
• Full workflow control across cloud, on-prem, or hybrid environments
• Translates industry voice into product language
• Helps teams keep pace with rapidly evolving technology
• AI should be understandable, accessible, and genuinely useful
• Moves teams beyond repetitive tasks to focus on what matters most
• Flexible plans for individuals, small teams, growing businesses, and large-scale enterprises
• Novus RAG for real-time insights, accurate answers, and dynamic updates from documents
• Integration with enterprise systems
• Bring your own LLM
• Tailor-made use-cases
• AI agents analytic dashboard
• Real-time support
• No-code customization and built-in optimizations
• Connects with ERP, CRM, HRM, SCM, and BI tools
• 100+ AI agents and multi-agent coordination
• Customizable AI agents with no-code tools
• Avoids vendor lock-in through modular, extensible architecture
• Aligns AI usage with internal approval and security processes
• Embeds control and governance directly into AI-driven systems
• Traceable, auditable workflows aligned with internal and regulatory standards
• Coordinates AI agents, systems, and approvals across regulated financial processes under strict policy and compliance constraints
• Integrates into existing banking infrastructures, supporting on-prem and private cloud deployments while maintaining data ownership, security controls, and architectural flexibility
• Reduces dependency on manual lookups and expert intervention in manufacturing
• Applies excise tax, vehicle tax, and campaign rules dynamically in manufacturing
• Supports multiple pricing formulas with full rule traceability in manufacturing
• Enables scenario comparison and regulatory impact simulation in manufacturing
• Supports supervised customer support with clear human-in-the-loop controls in insurance
• Validates information consistency using internal control and risk logic before claims progress in insurance
• Matches claims against policy terms using supervised AI workflows rather than isolated model decisions in insurance
• Applies rule-based and contextual checks to identify mismatches and inconsistencies early in insurance
• Supports human review and escalation before approvals are triggered in insurance
• Maintains alignment with internal control and compliance requirements during policy changes in insurance
• Continuously monitors processes and flags potential compliance risks in insurance
• Generates standardized, audit-ready reports with full traceability and historical context in insurance