How Lightyear is supporting telecom procurement. August 18, 2026 Lightyear has unveiled Dispatch and two AI agents to automate enterprise telecom sourcing, quoting and installation across a $1tn-plus market Lightyear has launched what it calls the first agentic platform for enterprise telecoms, starting with Lightyear Dispatch and two operational AI agents. Dispatch serves as the entry point for AI across the platform, allowing any team to query network data and generate custom reports using natural language. Sitting alongside it, the Quoting Agent and Implementation Agent manage the carrier coordination involved in sourcing and installing telecom services, marking the first stage in extending agent-driven execution across the wider telecom lifecycle. Lightyear supports more than 400 enterprises in procuring, managing and paying for telecom services through a single connected platform. Its Procurement, Network Inventory Management and Expense Management products bring together software, AI agents, proprietary data from 1,200+ carriers and telecom experts, helping customers reduce costs, save time and maintain control across the service lifecycle. Enterprise telecom represents a US$1tn-plus annual spend category that supports mission-critical operations, yet much of the work remains manual. With thousands of carriers, inconsistent service data and limited pricing transparency, sourcing, installing and managing network services remains difficult to standardise. Building telecom's system of action. Dispatch and its agents draw on Lightyear's proprietary pricing, serviceability and provider intelligence, built from more than two million quotes across 1,200-plus carriers. The agents also encode workflows shaped by years of managing telecom procurement and implementation for enterprise clients. Combined, this data and operational expertise give the agents the decision logic and context needed to execute specialised telecom workflows, rather than simply applying general-purpose AI to individual tasks. Dennis Thankachan, CEO of Lightyear, says: "Systems of Record tell you what is true. A System of Action takes the truth and uses it to do work on your behalf. "Lightyear is building Telecom's System of Action by combining proprietary data, proven workflows, and specialized AI agents. By 2027, Procurement Mag expect agents to be handling material work across the full lifecycle on behalf of its customers. "Our extremely large proprietary data set and deep ties into hundreds of carriers put us in a unique position to take advantage of AI capabilities as they relate to telecom, and we view this release as the culmination of years of work building up those assets." "Systems of Record tell you what is true. A System of Action takes the truth and uses it to do work on your behalf. " Dennis Thankachan,CEO of Lightyear Ask questions and build reports with Dispatch. Enterprise telecom data is spread across carrier portals, invoices, contracts and internal systems. Lightyear already brings this together into a single system of record, and Dispatch lets any team query that data in plain language, without needing to navigate multiple screens or rely on an experienced user to build a report. Customers can use Dispatch to: * Get answers about their network, such as which contracts are nearing renewal, where rates sit above market, or which sites lack backup connectivity * Build custom tables, charts and reports without depending on fixed dashboards or manually pulling together the underlying data * Schedule and share recurring reports with stakeholders across IT, finance, procurement and leadership In early use, customers have built custom inventory and spend reports in a median of one minute and two prompts. "Dispatch gave me the answer I was looking for within a couple of minutes. I was able to ask a question about our circuit orders and get updated information back in a clear, organised way," adds Sian Watts, Director: Processes & Systems at Elauwit. Dispatch currently answers network-data questions, handles reporting and helps customers navigate the product. As that entry point, it is quickly becoming the orchestration layer for the wider platform, with customers set to run workflows across Procurement, Network Inventory Management and Expense Management using natural language. AI agents that execute telecom work. Lightyear's first two agents take on the carrier coordination behind quoting and implementation, handling work telecom teams have traditionally managed by hand. The Quoting Agent draws on customer requirements, procurement rules, and Lightyear's pricing, serviceability and provider intelligence to identify the best-fit carriers and take RFPs out for quote. It delivers quotes 30-50% faster while generating 15-25% more qualified bids. The Implementation Agent reviews platform data, project updates and communications for every active installation. Through proactive milestone monitoring and escalation, it cuts install duration by 5-10 days. Both agents operate within customer-defined rules, with designated actions paused for human approval before execution. Lightyear plans to extend agents to further workflows across the telecom lifecycle, including contract renewals, network moves, adds, changes and disconnects and invoice disputes. Dispatch, the Quoting Agent and the Implementation Agent are available to all Lightyear customers on August 18. Company Portals

Lightyear named in Gartner's 2026 TEM Market Guide - its current TEM Market observations. Lightyear was named in the 2026 Gartner TEM Market Guide. Here's what Lightyear AI, Inc. is independently seeing in the market from legacy platform limitations to AI architecture, pricing shifts, and vendor consolidation risk. May 14, 2026 Lightyear was recently recognized in the 2026 Gartner Market Guide for Telecom Expense Management Services. An exciting moment for Lightyear AI, Inc. given Lightyear AI, Inc. launched its Expense Management offering just a few months ago! The full Market Guide is available in Gartner's Research section; access requires a Gartner client account. Lightyear AI, Inc.'ll let that report speak for itself. What Lightyear AI, Inc. want to do is focus on what's actually happening in the TEM space right now. Lightyear works with enterprise networks and IT teams every day, across hundreds of thousands of RFPs and industries. This gives a ground-level view of where the market is heading. In this article, Lightyear AI, Inc.'ll spotlight the trends Lightyear AI, Inc. is seeing independently and what they mean for your organization. Scale Isn't the Same as Sophistication in TEM. The TEM market is estimated at nearly $6 billion and continuing to grow. Lightyear AI, Inc. break down some of the top players in its blog: 8 best telecom expense management solutions in 2026. But market size isn't the story. When you look at the vendors managing the largest volumes of spend - billions under management, decades of customer contracts - what you're often looking at is scale built on top of years in market, not platform sophistication. In fact, many of the largest players in TEM are running the same core infrastructure they launched with in the early 2000s, with AI and automation features layered on top on of a faulty system. The problem with this model is that the enterprise networks run today look nothing like the ones those platforms were designed for. Neither does the data. When TEM first emerged as a category, voice services were a much larger part of the enterprise expense story than they are today and the key source of complexity. The question worth asking when evaluating any TEM vendor isn't simply how much telecom spend they manage, but whether the architecture was built for the complexity of enterprise telecom today. Lightyear's Expense Management platform was built on the question of what it takes to build a full telecom operating system from the ground up in today's environment. The answer required connecting inventory, procurement, and billing at the service level - not patching them together after the fact. AI in TEM is only as good as the data underneath it. Every TEM vendor has AI in their pitch right now. That isn't news. The more important question is what AI is actually trained on and connected to. Layering AI on top of legacy TEM infrastructure doesn't solve the underlying data problem; in fact, it can amplify it. Invoice lines that aren't mapped to validated inventory, charges not reconciled at the service level, and cost allocation done after the fact quickly become architecture problems. The TEM platforms generating real automation outcomes are the ones where inventory, procurement, and billing share a closed data loop. Without that foundation, natural language query tools and agentic workflows are impressive demos that don't survive contact with a real enterprise network. Most TEMs are just working off of invoices, not a holistic inventory that consistently updates. The same logic applies to how AI surfaces insights. The best platforms don't wait to be asked - they flag anomalies, surface optimization opportunities, and catch billing errors before they become disputes. That's the difference between AI as a feature and AI as a function. AI has also introduced a new dimension to data governance. As AI integration accelerates, Lightyear AI, Inc. is seeing enterprises ask hard questions about where invoice and contract data is going, whether vendors are using shared models or private, isolated environments, and what certifications (SOC 2, ISO 27001, FedRAMP) are in place. However, if your organization is not in a highly regulated industry, you may not need to be as concerned with compliance certs. Instead, your organization should ask: Is my data being used to train a shared model, or does it stay in a closed environment? That question matters more than any AI feature on a vendor's spec sheet. The pricing environment isn't uniform, and not all TEMs keep up. Telecom pricing has historically moved in one direction: down. And for most connectivity categories, that's still true. According to Lightyear's 2026 State of Connectivity Report, DIA pricing at 100 Mbps and 1 Gbps continued to compress roughly 5-10% year over year, consistent with the historical trend. Broadband got cheaper still, with competitive metro options now frequently available under $100/month. But the story isn't uniform. Data center and colocation pricing tell a completely different story. Retail colo costs jumped 20%+ from H1 to H2 2025 alone, with rack rates up 20-30% year over year in primary markets. AI hyperscalers pre-leasing entire facilities years in advance have effectively crowded out enterprise tenants, driving vacancy rates below 2% in major hubs. Enterprises renewing colo contracts in 2026 are facing a fundamentally different negotiating environment than they were two years ago. The practical implication: enterprises can't apply a single assumption to their telecom renewal strategy. Connectivity pricing still rewards proactive benchmarking and competitive bidding. Without current market pricing data as a benchmark, most enterprises don't know how wide that gap is. For a closer look at how to identify and recover telecom spend, its guide to telecom expense audits is a good starting point. Vendor consolidation is creating risk that isn't showing up on most procurement checklists. The TEM market, like much of the telecom space, has also seen significant M&A activity in the past 18 months. Several established vendors have merged, changed ownership, or been absorbed into broader technology platforms. To name a few recent examples: * Tellennium joined the NetSpark IP & Telecom family of companies in December 2024 * Proven Optics acquired brightfin in January 2026 * AppDirect acquired vCom in December 2025 * Cass Information Systems sold its TEM business entirely to Asignet in early 2025 - exiting the category altogether That's four meaningful ownership changes in roughly 12 months, across vendors that collectively serve thousands of enterprise customers. The deals make strategic sense for acquirers. The risk lies with the enterprise customer. When a TEM vendor changes hands, what's typically lost first is institutional knowledge, the team that understood your carrier relationships, your contract structure, your billing edge cases. Product roadmaps get reprioritized around the acquirer's broader platform strategy, which may or may not keep enterprise telecom at its center. Data governance gets more complicated as systems integrate. And for enterprises mid-contract, the protections in their MSA become the only real leverage they have. Ownership changes aren't the only service risk; quality degradation over the life of an engagement is a documented pattern even in stable vendor relationships, and worth factoring into any evaluation. This isn't an argument against any specific deal. It's a prompt to ask harder questions when looking at a TEM partner: What does the ownership structure look like? What happens to service commitments if ownership changes? What exit clauses exist in the MSA, and are they specific enough to be enforceable? In a consolidating market, these questions belong on the checklist alongside feature comparisons and pricing. TEM is getting more serious attention from enterprise leadership than it has in years. The enterprises that manage it well have a real cost and operational advantage over those that don't - and finding the right platform is a meaningful part of that. If you want to see how Lightyear approaches the full telecom lifecycle from procurement through expense management, schedule a demo of Lightyear's Expense Management platform to see it in action, or start with the reports to keep an eye on where the market is headed. Gartner Objectivity Disclaimer: Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Let Lightyear AI, Inc. show you the product and discuss specifics on how it might be helpful.

The alleywatch startup daily funding report: 1/28/2026. The latest venture capital, seed, pre-seed, and angel deals for NYC startups for 1/28/2026 featuring funding details for FLORA, Slice Global, BoldVoice, and much more. This page will be updated throughout the day to reflect any new fundings. FLORA - $42M Series A. FLORA, a creative AI tool with an infinite canvas for generating and refining text, image, and video outputs, has raised $42M in Series A funding led by Redpoint. Founded by Alexi Li and Weber Wong in 2024, FLORA has now raised a total of $52M in reported equity funding. Slice Global - $25M Series A. Slice Global, a global equity compliance and management platform that helps multinational companies automate equity issuance, tracking, and regulatory compliance across countries, has raised $25M in Series A funding led by Insight Partners. Founded by Maor Levran, Samuel Amar, and Yoel Amir in 2023, Slice Global has now raised a total of $32M in reported equity funding. BoldVoice - $21M Series A. BoldVoice, an accent training app for non-native English speakers, has raised $21M in Series A funding led by Matrix. Founded by Anada Lakra and Ilya Usorov in 2021, BoldVoice has now raised a total of $27.1M in reported equity funding. AlleyWatch is NYC's leading source of tech and startup news, reaching the city's most active founders, investors, and tech leaders. Advertise today Lightyear - $16M. Lightyear, a digital telecom lifecycle management platform for enterprise network procurement, inventory, and expense workflows, has raised $16M in funding according to a recent SEC filing. The filing indicates that the round comes from seven investors. Founded by Dennis Thankachan and Ryan Schrack in 2019, Lightyear has now raised a total of $64.6M in reported equity funding. Limy AI - $10M. Limy AI, a generative engine optimization tool for improving how brands appear in AI-driven search answers, has raised $10M in funding led by Flybridge. Founded by Aviv Shamny, Ido Zabarsky, and Ori Riechman in 2024, Limy AI has now raised a total of $10M in reported equity funding. Pace - $10M. Pace, an AI-powered platform for handling insurance back-office tasks like submission intake, policy servicing, claims and data management, has raised $10M in funding led by Sequoia Capital. Founded by Yonah Mann and Tristan Gosakti in 2024, Pace has now raised a total of $10M in reported equity funding. Chamelio - $10M seed. Chamelio, a legal intelligence platform for structured analysis, review, and tracking of contracts and critical legal documents for in-house legal teams, has raised $10M in Seed funding led by Work-Bench and Emerge Ventures. Founded by Alex Zilberman, Gal Lellouche, and Gil Banyas in 2024, Chamelio has now raised a total of $13.5M in reported equity funding. About alleywatch. Contact.