Skip to main content
B

BioSeq

BioSeq provides an agentic AI platform for logistics fleets through its Virtual Transport Manager (VTM), which continuously automates route planning, utilization optimization, and compliance monitoring. By leveraging knowledge graphs and multi‑agent AI, the system delivers 20–30% efficiency gains and enables small‑to‑medium operators to scale their operations 2–3× without added overhead. The technology is currently piloted with partners across Europe and slated for broader rollout in Q3 2025.

DublinFounded 2024210+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Small‑to‑medium logistics operators often rely on manual route planning and ad‑hoc compliance checks, resulting in under‑utilized vehicles, higher operational costs, and exposure to regulatory fines. These inefficiencies limit their ability to scale without adding staff or overhead.

Solution

BioSeq offers the Virtual Transport Manager (VTM), an agentic AI platform that automates core fleet‑management tasks. VTM continuously generates optimal routes, balances loads across vehicles, and monitors regulatory compliance in real time. The system is built on a knowledge‑graph representation of transport networks combined with a multi‑agent optimization engine, allowing it to adapt instantly to traffic, weather, and order changes. By operating as an always‑on virtual team member, VTM delivers 20–30% efficiency gains and reduces fines, enabling SME fleets to increase throughput two‑to‑threefold without additional personnel. The platform is cloud‑native, integrates via APIs with existing transportation‑management systems, and is currently piloted with European partners ahead of a wider rollout in Q3 2025.

Target Audience

Primary customers are small‑to‑medium freight carriers and third‑party logistics providers that manage their own vehicle fleets and seek AI‑driven automation to improve efficiency and compliance.

Features

  • Knowledge‑graph model that encodes road networks, customer locations, and regulatory constraints
  • Multi‑agent AI engine that simultaneously solves routing, load‑balancing, and compliance optimization
  • Real‑time route replanning responsive to traffic, weather, and order updates
  • Automated vehicle utilization optimization to maximize load factors and reduce empty miles
  • Continuous compliance monitoring (driver hours, emissions, legal limits) with proactive alerts
  • Cloud‑based dashboard and RESTful API for seamless integration with existing TMS platforms
  • Scalable architecture supporting fleets from a handful of vehicles up to several hundred
This profile is AI-generated and may contain inaccuracies.