Built for real-world mobility — not generic AI
TripGo Mobility AI brings together the reasoning power of large language models with SkedGo’s proven, real-time multimodal routing — delivering accurate, context-aware journey planning through natural conversation.
Built for transport authorities and operators, ticketing companies, local government and enterprise clients, TripGo Mobility AI enables users to plan trips the way they think, while organisations retain full confidence in the accuracy, transparency and governance of the results.
Why TripGo Mobility AI exists
General-purpose AI tools can talk about travel, but they cannot reliably plan real journeys. TripGo Mobility AI is different. It grounds conversational AI in authoritative, real-time transport data via SkedGo’s TripGo routing engine, ensuring every recommendation is explainable, current and operationally sound.
Built for B2B and B2G mobility ecosystems
TripGo Mobility AI is purpose-built for organisations that require precision, reliability and scale, with enterprise-grade routing API and custom data integrations
Enterprise-grade AI and routing infrastructure
TripGo Mobility AI combines large language model reasoning with SkedGo’s enterprise-grade routing engine and open, standards-based MCP integration.
This architecture enables AI systems to translate complex mobility questions into verified, optimised multimodal journeys in a single interaction.
One experience: conversation and maps
Users can move seamlessly between a conversational interface and an interactive journey planner, supporting both natural-language queries and map-based route comparison.
Key capabilities
Conversational, multi-lingual journey planning
Users ask open-ended questions in natural language.
Verified, real-time routing results
Powered by the TripGo multimodal routing API.
Standards-based AI integration
MCP enables compliant, tool-aware access for LLMs
Context-aware recommendations
Incorporates preferences, weather, saved locations and trip intent.
Interactive journey visualisation
Clickable routes, labels and map rendering.
Advanced planning support
From multi-day itineraries to activity-based and exploratory travel.
What this enables for transport authorities and operators
As mobility systems become more digital and AI-enabled, user expectations are changing. People expect systems to interpret intent, not just structured inputs. TripGo Mobility AI delivers this shift without compromising trust or data integrity.
more accessible and inclusive journey planning experiences
better support during disruptions and service changes
improved journeys for visitors and multimodal travellers
new automation opportunities for customer service teams
stronger MaaS deployments and AI-ready mobility platforms
Designed for accuracy, transparency, and trust
Built for regulated, public-sector and enterprise environments where reliability and accountability are essential.
Grounded in authoritative, real-time transport data, every recommendation is produced using proven multimodal routing logic — making results explainable, current and operationally sound.
Open by design, TripGo Mobility AI adopts the Model Context Protocol (MCP), enabling deployment across enterprise assistants, mobility platforms and conversational interfaces without proprietary lock-in.
TripGo Mobility AI
Ready for the next generation of mobility experiences
Conversational AI for journey planning — built for real-world mobility systems.
F.A.Q
TripGo Mobility AI is SkedGo’s AI-powered capability that combines conversational large language model (LLM) reasoning with SkedGo’s verified TripGo multimodal routing engine. It enables natural-language journey planning while returning accurate, real-time routing results grounded in authoritative transport data.
TripGo Mobility AI is designed for transport authorities, public transport operators, MaaS providers, and mobility platforms that need accurate, accountable, enterprise-grade journey planning for B2B and B2G use cases.
Generic AI tools can discuss travel but typically cannot reliably access real-time schedules, disruptions, or network conditions, and they do not run proven multimodal routing logic. TripGo Mobility AI grounds conversational answers in verified routing via SkedGo’s TripGo routing API, helping ensure results are current, transparent, and suitable for operational use.
Yes. TripGo Mobility AI uses SkedGo’s TripGo routing platform to return verified multimodal journeys and can incorporate live network conditions where available through compliant data integrations.
TripGo Mobility AI supports multimodal planning across public transport and other modes supported by the TripGo routing engine, enabling users to compare options in a single experience (for example, mixed-mode journeys and route alternatives).
The Model Context Protocol (MCP) is an open integration approach that allows AI models to access external tools in a standards-aligned way. In TripGo Mobility AI, MCP enables LLMs to call SkedGo’s routing tools and return authoritative results, rather than generating unverified travel advice.
Yes. TripGo Mobility AI supports both a conversational interface and an interactive journey planner UI, enabling natural-language queries alongside map-based route comparison and clickable itinerary details.
TripGo Mobility AI supports everyday trip queries as well as advanced requests such as multi-leg journeys, multi-day itineraries, activity-based planning, and preference-aware questions that reflect real user intent.
Conversational interfaces can reduce friction for users who struggle with rigid “from–to–time” inputs. TripGo Mobility AI helps people express intent in natural language while still returning verified routing results, supporting more inclusive digital mobility experiences.
During service changes and disruptions, users often ask open-ended questions. TripGo Mobility AI can interpret these queries and return routing options grounded in up-to-date data, helping customer support and traveller communications work more effectively.
Yes. TripGo Mobility AI can be used to power conversational support experiences that answer common journey-planning questions with verified routing outputs, helping reduce handling time and improve consistency.
TripGo Mobility AI is built on SkedGo’s TripGo routing API and supports MCP-based integration so it can be embedded into existing mobility apps, MaaS platforms, enterprise assistants, and chatbot environments.
TripGo Mobility AI uses authoritative transport data and compliant API integrations available to the TripGo routing engine. Outputs are generated from verified routing calls rather than “best guess” text generation.
Yes. TripGo Mobility AI is designed for B2B and B2G contexts where accuracy, transparency, and accountability are required for public-facing mobility guidance.
SkedGo typically starts with a discovery and integration plan based on your data environment, target use cases (traveller information, MaaS, customer service), and deployment channels. Contact SkedGo to discuss options.