Coveo, Exalead, ISYS, Recommind, Vivisimo, and X1 are a few of a select group that are marking a mark in their respective niches, as products ready for action with a short implementation cycle (weeks or months not years).

By way of contrast, Lynda opines:

Autonomy and Endeca continue to bring value to very large projects in large companies but are not plug-and-play solutions, by any means. Oracle, IBM, and Microsoft offer search solutions of a very different type with a heavy vendor or third-party service requirement. Google Search Appliance has a much larger installed base than any of these but needs serious tuning and customization to make it suitable to enterprise needs.

In particular, her views about FAST (now Microsoft) are scathing.

• Expert System now has 145 employees.
• 2 of the employees are in the US (plus at least one more full-time equivalent on a contract basis). Brooke believes the US operation will eventually be the biggest part of the company.
• Expert System has sold its market intelligence SaaS offering to two global auto manufacturers. Competitors were Nielsen BuzzMetrics, somebody whose name sounded like “flexilytics” (I presume that would be Lexalytics Edit: But see Lexalytics CEO Jeff Catlin’s comment below), and somebody whose named sounded like “Truecast” (I haven’t yet guessed who that is).
• If I understood correctly, Expert System acquired that product by picking up Brooke’s tiny company Acuity Software. Acuity was/is a user of Expert System’s technology, having replaced Coveo’s with it so as to get better semantics.
• Brooke is optimistic about Expert System’s prospects in the intelligence market. New semantic networks in Arabic and English (joining one Expert System already had in Italian) are a big part of the reason. Brooke says the intelligence community is now actively interested in technology that’s been validated by the commercial market, on the theory it’s apt to be more complete than research/government-only products. Expert System is also working on a semantic network in another undisclosed Middle Eastern language; Brooke stoically refrained from confirming the blindingly obvious guess that this would be Farsi.
• Expert System’s third effort in the US market, coming soon, will be a semantic ad platform.

Once again, however, I made it through an Expert System briefing without gaining a real understanding of its technology. I gather they’re proud of their in-memory data structure for their semantic network, but I haven’t a clue (beyond the obvious guesses) as to what that data structure is. Similarly, Brooke said that a distinguishing feature of Expert Systems semantic network is that words have lots of attributes, which are the same thing as categories, and supplied a list of the 11 top-level categories: Objects, animals, plants, people, concepts, places, time, natural phenomena, state, quantity, group. But it’s easy to come up with a lot of things that don’t seem to fit that list very well (especially events, such as numerous different word-senses of “strike”), so absent further elucidation I didn’t find that particularly instructive either.

• Coveo spun out of Copernic a few years ago. The only relationship between the companies now is that Coveo licenses Copernic’s desktop search product.
• Coveo has 60 employees.
• Coveo has 5-600 customers, including lots of big-name companies.
• Coveo’s pitch boils down to “inexpensive, easy to install, and no-apologies functionality.” Actually, Coveo also claims superior relevance and performance, but I’m not going to comment much on those until I have a chance for a more technical discussion.
• Example of ease of set-up: Coveo says Factiva downloaded the product on a Monday, called up and bought it on Thursday, and deployed it in production that Friday. This may be a growing industry trend. Attivio also features a “download first, talk to us second” distribution model. So do vendors of other kinds of “platform” software such as database management systems, application servers, or complex event/stream processing.
• Average selling price: $50K. Everything is included for one price unless it requires bundled third-party software (as is the case for audio, video, and OCR search).
• Coveo claims 90% head-to-head win rates vs. Google OneBox and Microsoft Sharepoint search. Generally, customers have other search products too (I guess that’s obvious, since Coveo has only been around 2-3 years). Sometimes they even have all-you-can-eat licenses to competitive products, but buy from Coveo anyway. Rule of thumb: Nobody’s head-to-head win rate is truly as high as they like to think, but companies that think their rate is 90% generally are doing quite well.
• Coveo cites a strong demand for text search of relational databases. Based on specific examples cited, this seems to mean text fields such as call center notes.
• Coveo offers audio/video search. Really, it’s just an audio search technology; what’s being searched on in videos is the audio part. And the audio search boils down to a speech-to-text transcription, with a search of the resulting text. Coveo’s key claim is that the error-laden text you get from speech-to-text conversion is sufficient for useful searching. Specifically, you do best searching for unusual words, such as proper names. In the case of telephone calls, which are low quality – perhaps 32 kb/sec – Coveo says there’s only 10-20% accuracy in word transcription. However, Coveo also says that the words that do come through are exactly the unusual ones most usefully searched on.
• Coveo also says that its speech-to-text lexicon is initially strengthened by text crawls. In general, while I didn’t ask, I would guess that the easy-installation story involves a fair amount of automated lexicon enhancement.