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Business

Aquant

Agentic AI platform delivering domain-trained AI agents for field service guidance, troubleshooting, and service ops.
8.0
Rating
Custom
Price
8
Key Features

Overview

Collected from Aquant public site and hubs: Aquant (Aquant Inc.) is a company founded in 2016. Aquant positions itself as a provider of Agentic AI — domain-trained AI agents that capture expert knowledge and provide contextual, step-by-step guidance to field and support teams to close skills gaps and convert service data into actionable guidance. Outcome focus includes faster resolutions, higher first-time fix rates, reduced repeat visits, improved CSAT, and service revenue. Product / Platform: Aquant announced the Agentic AI Platform (announced summer 2025). Core capabilities called out on public pages include pre-built service agents, the ability to build custom agents inside the platform, bring-your-own-agent integration, and integrating Aquant agents into enterprise AI ecosystems. Major capabilities listed publicly: persona-based (role-specific) guidance, multi-channel delivery (web, mobile, voice/phone Call Assist, offline device support), real-time agentic reasoning with continuous learning from outcomes, a data refinement/connectivity layer that pulls from service history, manuals, IoT, logs, CRMs, auditable and explainable outputs with configurable guardrails, device/offline answers with preloading and sync, and a Call Assist phone-based hands-free AI feature with escalation to humans and continual learning from calls. Retrieval-Augmented Conversation (RAC) and other retrieval/knowledge innovations were announced (RAC announced August 2025). Agent Library: Public pages describe an Agent Library as a unified catalog sharing a common data foundation. Example agent types listed publicly include Troubleshooting Agent, Knowledge Agent, Parts & Inventory Agents, Schematic Reader, Log File Analyzer, IoT Agent, Document Retrieval, Training Simulator, Root Cause Analysis Agent, Predictive Campaign Agent, Customer Intelligence Agent, Voice of Customer Agent, Production Performance, Material Flow, Spare Parts Optimization, Parts & Inventory Cost, Service Billing, Product Insights, MEDDPICC Deal Coach, and others. Agents can be deployed out-of-the-box, customized, or integrated from existing systems. Industries & Use Cases: Industries cited include Industrial Equipment, Medical Devices, Manufacturing/Plants, Food Equipment, High-Tech & Electronics, and Printing. Use cases called out include field troubleshooting, call centers, customer self-service, knowledge capture, parts identification & sales, predictive maintenance, production/supply chain optimization, and onboarding & training. Performance Claims & Documentation: Public site cites measurable improvements including a field-service benchmark of ~39% faster resolution time (used as an illustrative benchmark). Typical impacts called out: improved first-time fix rate, reduced mean time to resolution, higher customer satisfaction, often realized within weeks of go-live with leader analytics for upskilling. Public resources and support include a knowledge hub (knowledge.aquant.ai) with user resources, integration guidance, docs, and getting-started material; a "What’s New" / blog / resources area with product announcements; and an Agent Library page with details. Contact & Gaps: Public contact pathways include discover.aquant.ai/contact which contains a contact form and lists global offices (Boston HQ address cited, NY phone number 917.960.7010, Tel Aviv and Germany offices). Publicly missing items and gaps observed on the public site: no public pricing or published pricing plans (https://www.aquant.ai/pricing returns no listed plans), some pages returned 404 or were retired (e.g., /agents and /solutions showed "Page Not Found" while the Agent Library and Platform pages had content), and in-depth API/developer documentation and public pricing tiers were not available — these must be requested via contact or customer portal. Recommended next steps include submitting a demo/contact request, requesting access to the knowledge hub for integration/developer docs, asking for a product brief or technical architecture diagram (connectors, data flows, security/compliance, offline architecture), and requesting agent-level specifics (capabilities, customization options, pricing per agent/user/volume) via an implementation or sales briefing. Notes on accuracy: This summary reflects only information observed on Aquant public site and related hubs at the time collected; no private or internal documents were used and no unsupported claims were added.

Details

Developer
aquant.ai
Launch Year
2025
Free Trial
No
Updated
2025-12-07

Features

Pre-built and Custom Agents

Pre-built service agents available out-of-the-box plus tools to build and customize agents within the platform.

Multi-channel Delivery

Delivery via web, mobile, voice/phone (Call Assist) and offline device support with preloading and sync.

Real-time Agentic Reasoning

Real-time agentic reasoning with continuous learning from outcomes and analytics for upskilling.

Data Refinement & Connectivity

Connectivity layer to pull and refine data from service history, manuals, IoT, logs, CRM and other sources.

Auditable & Explainable Outputs

Configurable guardrails and auditable, explainable agent outputs for compliance and traceability.

Call Assist (Voice) Support

Phone-based hands-free AI support with human escalation and continual learning from call outcomes.

Screenshots

Aquant Screenshot
Aquant Screenshot

Pros & Cons

Pros

  • Agentic AI approach with domain-trained agents for actionable field guidance.
  • Pre-built agent library plus ability to build/customize and integrate existing agents.
  • Multi-channel and offline device support including Call Assist for voice/phone workflows.
  • Connectivity to varied service data sources (manuals, IoT, logs, CRM) and emphasis on auditable outputs.
  • Publicly documented performance claims and a knowledge hub with resources.

Cons

  • No public pricing or published pricing tiers on main site; pricing requires contacting sales.
  • In-depth API/developer documentation not publicly available — must request access.
  • Some public site pages returned 404/retired notices (e.g., /agents, /solutions) indicating site restructuring.
  • Limited publicly accessible technical architecture and SLAs; deeper details require direct engagement.

Compare with Alternatives

FeatureAquantMagical Agentic AINeuron7.ai
PricingN/AN/AN/A
Rating8.0/108.1/108.2/10
Field-Service FocusYesNoYes
Agent Library DepthYesPartialPartial
Real-time ReasoningYesPartialPartial
Voice Call AssistYesNoNo
Offline/Edge SupportYesNoPartial
Integrations & ConnectorsYesYesYes
Explainability & AuditYesYesPartial
Predictive MaintenanceYesNoYes

Audience

Field techniciansUse role-specific, step-by-step guidance and offline answers for on-site troubleshooting and repairs.
Service organizationsReduce mean time to resolution, increase first-time fix rates, and improve CSAT and service revenue.
OEMs & manufacturersCapture expert knowledge, optimize parts/inventory, and enable predictive maintenance and analytics.

Tags

Agentic AIfield serviceservice agentsagent libraryoffline AICall AssistRACretrieval-augmented-conversationtroubleshootingpredictive maintenanceparts & inventoryknowledge management