
AI built for the work that actually runs your industry.
Kavell ships deep vertical AI for real estate, and transport & logistics — including port and terminal workforce — plus a dedicated low-code modernization engine for teams exiting Mendix, OutSystems, PowerApps, and Appian.
- Real estate
- Transport & logistics
- Ports & terminals
- Low-code migrate

Kavell is AI built by the operators who have actually run brokerage transactions, port operations, and logistics dispatch.
Before Kavell, these are the hours your team keeps losing.
Concrete operational shifts, not positioning talk. Every row is a real workflow we replace or reconfigure end to end.
Commission disbursement
Transaction coordination
Carrier check calls
Freight audit & claims
Gang scheduling
Time keeping & missed punches
Platform cost & ownership

AI that respects the contract-to-close lifecycle.
Transaction coordination, brokerage accounting, agent onboarding, and voice lead response — orchestrated as one system with RESPA and TCPA-aware guardrails.
- Transaction Coordination AI — Contract-to-close orchestration, document parsing across purchase agreements, addenda, and disclosures, deadline tracking, and escrow and title follow-up.
- Brokerage Accounting AI — Commission disbursement automation, split calculation, trust-account reconciliation, 1099 generation, and cap tracking.
- Agent Onboarding & Compliance AI — License verification, E&O documentation, MLS setup, and team-transition workflows.
- Lead Response Voice AI — After-hours voice qualification powered by Vapi with MLS context injected into every conversation.

Freight, dispatch, and workforce — one operations surface.
Carrier voice AI. TMS-integrated dispatch. Freight audit. And a four-pillar workforce engine (AI dispatching, time keeping, work orders, dispatch automation) that runs for both trucking fleets and port terminals.
- Carrier Voice AI — Vapi-powered outbound calls for load coverage, check-calls, and rate negotiation within guardrails. The check-call replacement is a category-defining differentiator.
- Load Matching & Dispatch AI — EDI and API integration with major TMS platforms (McLeod, Turvo, MercuryGate), exception routing, and multi-modal coverage.
- Appointment & Terminal Scheduling AI — Dock, terminal, and berth appointment booking with automated drayage coordination — common surface for trucking fleets and port terminals.
- Workforce engine · 4 pillars — AI dispatching, time keeping, work orders, dispatch automation — configured for freight fleets or port / terminal operations.
Dispatching, time keeping, work orders, and dispatch automation.
The same engine deploys for trucking fleets and port terminals. What changes is the rule set — DOT and HOS for drivers, TWIC and ILA / ILWU for port labor.
AI Dispatching & Auto-Dispatch
Rules-driven automatic assignment based on configurable criteria — seniority, certifications, union rules, availability, skill tags, proximity, overtime thresholds, and fatigue limits.
Open pillarPillar 02Time Keeping
AI-assisted clock-in validation, shift anomaly detection, missed-punch reconciliation, geofenced attendance, and grievance-defensible audit trails.
Open pillarPillar 03Work Orders Processing
Multi-channel intake (email, TMS, portals, voice), AI classification, auto-assignment to dispatched crews or drivers, and completion sign-off with photo and document capture.
Open pillarPillar 04Dispatch Automation
End-to-end orchestration connecting work orders → auto-dispatch → time keeping → payroll feed, so a single order flows through the entire lifecycle without re-keying.
Open pillar
Your low-code platform was a runway, not a destination.
Mendix, OutSystems, PowerApps, and Appian got you to 60%. Now they are the bottleneck — license ceilings, vendor lock-in, no AI-native path forward. Kavell re-platforms you to modern React, Node, and Python with AI workflows built in. Not a translation. A re-architecture.
- Two-week audit
- Fixed-price pilots
- AI-assisted migration
- Ownership handoff
Led by Bryan Kenneweg and Ashok Kata, Co-Managing Directors.
Kavell is operator-led. Bryan and Ashok take every initial fit call personally — no SDR layer, no discovery theater. Connect on LinkedIn or book a call.
Real numbers. Labeled honestly.
Every metric below is labeled modeled or pilot. When production data lands, we will publish it with the same discipline.
Modeled commission disbursement cycle time reduction at a 180-agent brokerage.
Modeled auto-handled rate for carrier check-calls in a pilot with a 40-truck fleet.
Modeled reduction in dispatch exceptions after auto-dispatch criteria go live — fleets and terminals alike.
Questions buyers ask us first.
The honest answers. If your question is missing, book a fit call and we will answer it live.
How is Kavell different from ChatGPT or generic AI agents?
Do you replace or integrate with our existing systems?
What does a Kavell implementation timeline look like?
How is pricing structured?
Do you work with port and terminal operators?
Is Kavell compliant with RESPA, DOT, OSHA, HIPAA, or SOC 2?
Who runs Kavell?
Do you offer a free platform audit for low-code migration?
Start with the page closest to the problem you want to solve.
Browse the vertical solutions, review the platform layer, or go directly to low-code migration. A 30-minute fit call is enough to know whether we should keep talking.

