NXTOrder™ unifies commerce, configuration, workflow, and operations into a single system. Built on a modern, serverless, cloud-native architecture (Google Cloud, Firebase, Functions) and designed to support multiple industries on a shared foundation while enabling deep vertical customization.
Composable architecture: each business is built by combining core capabilities with industry-specific extensions. Vertical-specific logic — custom pricing models, fulfillment workflows, operational rules — sits on top of a shared, multi-tenant base.
New verticals launch on proven infrastructure, with proven AI modules, against the cumulative learning of every vertical that came before.
A single control plane
for every AI capability.
Provider-agnostic architecture built on Google GenKit for unified model interaction. A single integration point for every AI feature in the platform — rapid development, testing, deployment.
Centralized management of AI providers, models, and accounts. Switch models or providers without rewriting apps. Client-level or centralized billing models. A single dashboard across the portfolio.
AI features are built as modular tasks — parsing, generation, refinement — with multiple prompts per task and versioning. Tasks compose into the larger agentic workflows that define Era 3.
Real-time monitoring of output quality, cost, and performance. Benchmarking across models and prompt variations. Continuous improvement without code changes. Cost-efficiency tuning at portfolio scale.
New AI capabilities ship faster across all verticals because the platform is shared. A feature built for Levo's broker triage becomes the foundation of Equipio's RFQ parsing on the same week.
Flexibility to evolve with the AI ecosystem as it shifts. Scalable, cost-efficient AI operations across five verticals. The cost curve goes down per vertical as the portfolio grows.
Core workflows executed manually by experienced operators. Critical business logic in people, not systems. Spreadsheets for reconciliation. Quoting, fulfillment, and exception handling require human judgment. High dependency on tribal knowledge.
NXTOrder™ centralizes CRM, workflows, pricing, communications. SmartInbox™ structures and acts on inbound demand. Eight AI features in production: email parsing, document parsing, AI search, message generation, CMS generation, matching engines.
AI evolves from assisting workflows to executing them end-to-end within defined guardrails. Agents ingest demand, interpret context, make decisions, execute actions. Humans shift to exception handling.
Six capability pillars
under build for Era 3.
All customer, supplier, and internal communication lives within NXTOrder. Email, SMS, system-generated threads unified. The document engine powers all outbound communication. Context preserved across workflows and transactions.
Inbound communication is structured, prioritized, and acted on automatically. AI categorizes and routes incoming messages, summarizes threads, drafts responses, flags urgency, and reinforces response SLAs.
AI anticipates operational risk and recommends actions before issues occur. Delivery risk scoring based on historical and geospatial inputs. Automated identification of edge cases. Proactive communication and mitigation workflows.
Agents manage and execute recurring operational workflows. Follow-ups, production tracking, supplier coordination — handled automatically. Lifecycle-based triggers for cart abandonment, order updates, retention. Continuous execution without manual intervention.
Revenue, cost, and margin data unified across every transaction. Real-time visibility into pricing, cost, margin, and operational KPIs. Automated reconciliation across orders, suppliers, and financial systems. Continuous optimization of pricing and decisioning.
Modular system for defining vertical-specific logic on a shared platform. Encodes pricing models, workflows, and operational rules by industry. Enables rapid deployment of new verticals without rebuilding infrastructure.
Evolution of SmartInbox™. Uses AI to recognize intent, urgency and unstated preferences, with memory across a client's past sessions.
Evolution of LevoAI™ Flight Availability Matching. Tracks fleet schedules and empty-leg availability, then ranks aircraft by how likely each is to confirm the booking.
Deals directly with operators' systems, agent to agent — settling terms within preset price and margin limits, in milliseconds rather than hours.
Handles the money and the compliance checks — reading and verifying Part 135 certificates and insurance before any funds move, then closing the booking end to end.
Competitors can reverse-engineer features and license a similar AI stack, but they cannot reconstruct years of cadenced, function-specific operational knowledge that has been structured, permissioned, and trained on across a portfolio of operating businesses.