Give your team an AI-powered knowledge management system, so your customers get AI-speed service.
A customer calls a bank. The question is simple - can I still use my card abroad this weekend? What happens next is not simple. The agent puts them on hold, opens three tabs, scrolls a policy document written in 2019, asks a colleague, and finally reads back an answer that may or may not match what the last agent told the last caller. Multiply that by millions of calls a year and you have the most expensive and least visible problem in enterprise service: not a lack of knowledge, but the inability to find it. KMS Lighthouse built a company on that gap.
The Israeli software firm makes an enterprise knowledge management platform - also called Lighthouse - that sits behind the people who answer your customers. Its job is narrow and stubborn: take everything an organization knows and turn it into a single, governed answer that surfaces in seconds, in the same words, no matter who is asking or which channel they came through. The company's own line for it is blunt. "Find and share your enterprise knowledge in seconds."
Most large companies do not have a knowledge shortage. They have a knowledge sprawl. The right answer lives in a PDF, a wiki, a training deck, someone's inbox, and a policy update that never made it into any of them. Contact-center agents pay the price first, but customers feel it as hold music, wrong information, and the sinking need to call back. KMS Lighthouse describes its purpose plainly: help companies "struggling with disorganized, outdated, and unreliable information."
The fix is a single source of truth. One place where the answer is authored once, governed, and pushed everywhere - so the agent, the self-service portal, and the field technician all read from the same page. When that works, the difference is measurable rather than philosophical.
Lighthouse is sold as one platform that shows up in four places people actually work. In the call center, it surfaces the right answer to an agent mid-conversation, which is where the 40% cut in holding time comes from. In self-service, it gives customers 24/7 access to the same governed answers, so the smart ones never have to call at all. In onboarding and training, structured knowledge shortens the ramp for new agents by up to 70%. And in field service, technicians pull procedures on a phone instead of a binder, reportedly cutting time-on-site by as much as 60%.
The engine underneath is AI-powered search with natural-language retrieval, built to work without heavy training for the person typing the question. The platform plugs into the tools enterprises already run - Salesforce, Zendesk, Genesys, Microsoft Teams, and Azure OpenAI - so knowledge appears inside existing workflows rather than in yet another tab.
Knowledge management does not get bragged about at dinner parties. Yet the logos that trust it are ones most people deal with every month. KMS Lighthouse counts banks, insurers, telecoms, healthcare, logistics, retail, and travel companies among its customers.
There is a nice symmetry in that list. It spans the whole arc of a stressful day - booking a last-minute holiday on lastminute.com, then calling the AA when the car dies on the way to the airport. Different industries, same underlying need: give the person on the phone the right answer, fast, every time.
The knowledge management market is crowded. Alternatives range from focused players like eGain, Bloomfire, Shelf, Knowmax, Livepro, Stonly, and Document360 to the knowledge modules bundled inside big suites like Zendesk and Salesforce Service Cloud. KMS Lighthouse's pitch in that field is consistency and control: one governed answer, authored once, consistent across every channel, and easy enough to adopt that agents actually use it.
That emphasis matters more, not less, in the age of AI. A chatbot is only as good as the knowledge it draws from - point generative AI at messy, contradictory content and it will confidently give a wrong answer faster than any human could. Lighthouse's bet is that the governed answer layer is the real intelligence in a support operation, and that automation should sit on top of it rather than replace it.
The model is classic B2B SaaS: subscription licensing sold to medium and large enterprises, typically per user, with onboarding and integration services around it. What is slightly less classic is distribution. KMS Lighthouse reaches enterprise buyers through three cloud storefronts at once - the Microsoft Azure Marketplace, AWS Marketplace, and the Salesforce AppExchange - meeting large customers inside the procurement channels they already use. Microsoft has featured the company in a customer story for bringing its AI-powered knowledge solution to Azure. Third-party estimates put annual revenue in the region of $18-21 million, on a team of roughly 160 to 200 people.
Analyst recognition is the currency of enterprise software, and KMS Lighthouse has collected some. It was named a Leader in the IDC MarketScape for Worldwide General-Purpose Knowledge Discovery Software in 2023, and evaluated in The Forrester Wave for knowledge management solutions in 2024. Under CEO Sagi Eliyahu - a CPA and former VP who took the company from boutique startup toward serving global brands - the firm has expanded from its Israeli base into North America, EMEA, and Asia.
The name does a lot of quiet work. A lighthouse is a beacon that helps you find your way through fog - which is exactly what an agent is doing when a customer is on the line and the right answer is buried somewhere in the company's collective memory. Turn on the light, and the question gets answered before the hold music starts.