Connect with us

Technology

DocketAI Kicks Off 2025 with Record Growth, New Marquee Customers, Product Innovations and Strategic Expansions

Published

on

Milestones Solidify the Company’s Position as a Leader in AI-Powered Revenue Enablement

SAN FRANCISCO, Jan. 2, 2025 /PRNewswire/ — DocketAI, the AI Sales Engineer Teammate, today celebrates its notable achievements from 2024. The company experienced growth in its customer roster, welcoming many esteemed clients such as ZoomInfo, Pathify, Demandbase, NewStore, and more. The company was also named a Cool Vendor in the 2024 Gartner® Cool Vendors™ in AI-Led Sales Research and further earned top rankings on the G2 Winter 2025 reports, solidifying its position as a leader in AI-driven revenue enablement.

“Since implementing DocketAI, our revenue team has drastically reduced the time spent on repetitive tasks and technical inquiries, allowing us to close deals faster and accelerate the onboarding process,” said James Roth, chief revenue officer at ZoomInfo. “With DocketAI’s AI teammate capabilities, our sales engineers can focus more on strategic customer engagements and high-stakes deals, significantly improving our chances of winning. DocketAI has streamlined our processes, enhancing our team’s efficiency and effectiveness.”

On the product front, DocketAI made great strides in innovation by releasing DocketAI Docs and DocketAI Collections, new product updates designed to optimize how B2B sales teams operate. The company also made several strategic hires, including Bassam Aoun as vice president of artificial intelligence/machine learning, Arun Lal as vice president of marketing, and David Singh as vice president of sales.

“We had an unprecedented year in terms of milestones,” says Arjun Pillai, co-founder and chief executive officer (CEO) at DocketAI. “Our customer wins, additions to the leadership team, and pivotal product updates reflect our commitment to revolutionizing revenue operations and driving customer growth. While 2024 was a major success for us and our customers, we’re already hard at work planning for the next one to be even better.”

Earlier in 2024, Docket AI released DocketAI Collections, which allows revenue teams to host and share winning sales knowledge and DocketAI Docs, which enables sellers to instantly create personalized, buyer-ready sales documentation and collateral.

Additional customer research revealed that DocketAI has contributed to up to 22% higher revenue per seller, up to 12% increase in win rates, up to 10% shorter sales cycles, and up to six hours of time savings every week per seller.

The company was rewarded with high customer praise and reviews, taking key Leader spots on G2 Winter 2025 Reports. This is a sampling of comments from recent customer reviews:

Product Knowledge Support on Demand – “Instead of asking my product or marketing team technical questions or detailed questions about features, I can ask Docket and get an answer in real time. That helps me improve my win rate and speed up my sales cycle.”Streamline RFP Responses and Sales Intelligence with DocketAI’s Smart Platform – “Docket AI provides quick, accurate responses to sales inquiries and RFPs. The integrated sales knowledge helps to pull out the relevant data keeping the information and allowing the team to focus on more strategies tasks. It’s been an impressive and productive boosting experience with this tool.”A must use – Instant AI-Powered Sales Assistant – “I love that I don’t have to jump between tools to get information for any of my deals, and I can ask it a question directly on Slack. Plus, the chrome extension has made answering sales emails, and writing follow-ups super easy for me now. The AI uses data from our entire knowledge base, as well as knowledge from Slack, Google Drive, and other places to provide really accurate answers.”

“We’re thankful for all the progress we made last year and all the customers who have trusted us to help them reach their revenue goals,” says Pillai. “In 2025, we plan to capitalize on the momentum we’ve built and continue providing leading-edge AI solutions to enable and empower sales teams like no one else.”

To learn more about DocketAI and request a demo, please follow this link.

About DocketAI
Founded by Arjun Pillai, former Chief Data Officer at ZoomInfo, and Anoop Thomas Mathew, former Director of Sales Engineering at FullContact, DocketAI is the world’s first AI Sales Engineer Teammate an agentic AI revenue enablement product that helps go-to-market teams increase win rates, shorten sales cycles, grow ACVs and enhance seller efficiency. by acting as an on-demand AI Sales Engineer.

DocketAI answers sales queries instantly, auto-fills complex RFPs, DDQs, and security questionnaires, and creates customized documents for sellers, 95%+ accuracy, sub-2.7% hallucination rates, and responses in under 3 seconds. at 95% accuracy below 2.7% hallucination rate reducing operational overhead by 83%.

The platform uses its proprietary Sales Knowledge Lake™ to ingest structured and unstructured data from various sources, continually learn from top performers to amplify their best practices across the revenue team, and deliver buyer-ready sales knowledge.

View original content to download multimedia:https://www.prnewswire.com/news-releases/docketai-kicks-off-2025-with-record-growth-new-marquee-customers-product-innovations-and-strategic-expansions-302341463.html

SOURCE DocketAI

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

Taiwan’s Smart Tolling Technology Goes Global as Thailand Launches AI-Powered M81 Motorway System

Published

on

By

TAIPEI, April 22, 2026 /PRNewswire/ — Sightings of electronic toll collection (ETC) gantries resembling those used on Taiwan’s freeways have recently drawn attention on social media along the Bangkok–Kanchanaburi highway. Far Eastern Electronic Toll Collection Co., Ltd. (FETC) confirmed that the system is part of Thailand’s newly launched M-Flow multi-lane free-flow tolling system on the Intercity Motorway No. 81 Bang Yai – Kanchanaburi Route (M81).

Developed in collaboration with FETC International (Thailand) Co., Ltd. (FETCi Thailand) and the BGSR81 Co., Ltd, the system has officially entered operation, marking a significant milestone in Thailand’s transition toward smart, digitally enabled highway infrastructure.

The launch also strengthens connectivity between Bangkok and Kanchanaburi, effectively creating a “one-day travel corridor” and supporting regional tourism and economic activity.

AI-Driven Tolling Cuts Travel Time to 48 Minutes

According to Kenny Chen, Managing Director of FETCi Thailand, the M81 project demonstrates the flexibility and scalability of Taiwan’s ETC technology in complex international environments.

FETCi Thailand led the design, installation, and implementation of the tolling system and its Traffic Operations Center (TOC). The platform integrates artificial intelligence (AI) and Internet of Things (IoT) technologies to enable data-driven traffic management and operational decision-making. It is also designed for future expansion, including applications such as weigh-in-motion enforcement.

Thailand’s diverse vehicle types and more complex license plate formats presented technical challenges. These were addressed through advanced AI-powered automatic license plate recognition (ALPR), ensuring high accuracy in vehicle identification. Combined with multiple digital payment options, the system allows vehicles to pass through toll points without stopping.

Since its launch, travel time between Bangkok and Kanchanaburi has been reduced from nearly two hours to approximately 48 minutes. Weekend traffic volumes have reached around 55,000 vehicles per day, improving both tourism access and logistics efficiency in western Thailand.

M9 Experience Highlights Strong Economic and Environmental Benefits

FETC has also supported Thailand’s Department of Highways (DOH) since 2022 in deploying and operating the M-Flow system on the M9 motorway, including gantry design and operational consulting.

According to DOH data, the system has increased traffic throughput fivefold and saves motorists an estimated 3.33 million hours annually. It has achieved a benefit-cost ratio of 6.94, meaning each dollar invested generates nearly seven dollars in overall societal value.

In environmental terms, the system reduces fuel consumption by approximately 13.91 million liters per year and cuts carbon emissions by more than 36,000 metric tons, contributing to more sustainable transportation.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/taiwans-smart-tolling-technology-goes-global-as-thailand-launches-ai-powered-m81-motorway-system-302748486.html

SOURCE FETC International

Continue Reading

Technology

Critical Link Launches World’s First AI-Driven SOM Recommendation Engine, Powered by Rapidflare

Published

on

By

Critical Link and Rapidflare have jointly launched the world’s first AI-driven System on Module Recommendation Engine. Engineers can now describe their requirements in plain language and receive accurate, tailored SOM recommendations in seconds. Together, the two companies are redefining how electronics teams discover and select embedded solutions.

SAN JOSE, Calif., April 21, 2026 /PRNewswire-PRWeb/ — Critical Link LLC, a leader in system-on-module solutions, has introduced the world’s first AI-driven System on Module Recommendation Engine, powered by Rapidflare’s Rapid Product Selection Agent. The new engine advances Critical Link’s mission to help customers bring embedded products to market faster and more cost-effectively.

Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs. – Amber Thousand, Sr. Director of Marketing, Critical Link

In the electronics industry, selecting the right product often requires manually comparing hundreds of pages of datasheets or relying on rigid parametric search tools. Critical Link’s SOM Recommendation Engine is set to change that. With Rapidflare’s conversational AI agent, customers can describe their requirements in natural language and receive tailored recommendations in a fraction of the time.

“For years customers have asked for a better way to find the right SOM for their application. Launching this AI-driven engine with Rapidflare’s technology is a game changer,” said Amber Thousand, Sr. Director of Marketing at Critical Link. “Their accuracy, domain expertise, and speed of integration made them the clear choice to support our mission.”

Unlike generic AI agents, Rapidflare’s technology is purpose-built for complex product selection workflows. It combines knowledge graph-based reasoning, domain-specific intelligence, and industry guardrails to deliver recommendations that are both fast and reliable for electronics teams.

“The best partnerships happen when your mission aligns with your partner’s mission,” said Navanee Sundaramoorthy, CEO and Founder at Rapidflare. “We’re proud to partner with Critical Link to help make SOM product selection more seamless, intuitive, and efficient for their team and customers.”

Beyond accelerating product selection, the AI engine gives engineers a new way to engage with Critical Link. “We’ve always offered thorough documentation and product support to customers via our website, our engineering wiki, and personal contact. Adding the SOM Recommendation Engine creates a more efficient path for self-discovery, which we see as a growing trend,” said Thousand. “Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs.”

To explore Critical Link’s SOM Recommendation Engine, visit https://www.criticallink.com/som-recommendation-ai-agent/.

To learn more about Rapidflare and its AI-powered product selection solutions, visit Rapidflare’s website: https://www.rapidflare.ai/

About Rapidflare

Rapidflare builds AI-powered domain specific agents for electronics, semiconductors, and other technically complex industries. Its product intelligence powered AI platform gives teams natural-language access to product and engineering knowledge, making it easier to find accurate answers, support customers, and move faster across critical workflows. Rapidflare multiplies the impact of GTM teams by making critical technical knowledge instantly accessible, helping sales, solutions engineering, product marketing, support, and customer success teams move faster and operate with confidence. For more information, visit rapidflare.ai

About Critical Link

Critical Link designs and manufactures CPU-based, FPGA-based, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

Media Contact

Balpreet, Rapidflare, 1 2068614231, balpreet@rapidflare.ai, rapidflare.ai

View original content to download multimedia:https://www.prweb.com/releases/critical-link-launches-worlds-first-ai-driven-som-recommendation-engine-powered-by-rapidflare-302749279.html

SOURCE Rapidflare

Continue Reading

Technology

COMAU SHOWCASES AUTOMATION SOLUTIONS FOR SOUTHEAST ASIA’S COMMERCIAL VEHICLE INDUSTRY AT GIICOMVEC 2026

Published

on

By

SHANGHAI, April 22, 2026 /PRNewswire/ — Comau participated in the Indonesia International Commercial Vehicle Expo (GIICOMVEC 2026), held in Jakarta, where it engaged with local OEMs and supply chain partners on manufacturing upgrades and the application of automation technologies. During the event, Comau presented its capabilities in body-in-white automation, flexible production systems for multi-model manufacturing, and digital manufacturing solutions, drawing on its experience in managing complex automotive production environments.

Through its participation at GIICOMVEC 2026, Comau further expanded its engagement with the Southeast Asian market. Leveraging its global project experience and strong presence in China, Comau supports complex, high-volume automotive production for both domestic and international OEMs, and combines this experience with local insights to address evolving regional manufacturing requirements.

GIICOMVEC 2026 featured 14 leading commercial vehicle brands from multiple regions, showcasing developments in light commercial vehicles, heavy-duty trucks, buses, and specialty vehicles. As demand continues to grow and industrial modernization accelerates, Indonesia is becoming an increasingly important production base and end market for commercial vehicles in Southeast Asia. At the same time, the expanding presence of Chinese automakers is contributing to a more competitive landscape and a shifting supplier ecosystem.

In this context, manufacturers are managing broader product portfolios and short production cycles. As a result, greater emphasis is being placed on automation solutions that enable efficient multi-model production, improve consistency in body-in-white manufacturing, and support the adoption of digital production management systems.

At the policy level, initiatives such as Making Indonesia 4.0 and the national push toward vehicle electrification are reinforcing the transition toward efficient and sustainable manufacturing. Comau’s proven track record in e-Mobility and battery assembly solutions further aligns with these developments, creating new opportunities to add value across the entire commercial vehicle value chain in Southeast Asia.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/comau-showcases-automation-solutions-for-southeast-asias-commercial-vehicle-industry-at-giicomvec-2026-302748494.html

SOURCE Comau

Continue Reading

Trending