About
Kairos Intelligence exists because enterprise B2B sales has a problem that no existing tool has solved: knowing when to reach out, not just who to reach.
Most enterprise deals are won before outreach begins.
Most sales teams reach prospects after the buying decision is already 70% made — after the shortlist is formed, after the RFP is written, after the preferred vendor is mentally selected. The RFP is not the beginning of the process. It is procurement paperwork for a decision that has already been made. At that point, you are not competing on value. You are competing on price, and the team that arrived first is winning.
The companies that consistently win large deals share one trait: they arrive before the window opens. They know which companies are about to buy before anyone else does. They have a relationship established before the RFP exists. They are not responding to the market — they are ahead of it.
That intelligence used to require a dedicated research team, a $300K/year analyst function, or expensive intent data subscriptions built for enterprise marketing teams — not for the 6-person sales team closing $200K deals.
Kairos was built to make institutional-grade buyer intelligence accessible to founder-led enterprise sellers. Not a database. Not a tool. A complete intelligence service — delivered in 48 hours, priced for the team that is closing the deal.
Every enterprise sales team knows that timing is the variable that determines whether an outbound message gets a reply. And yet, the entire sales technology market is built around contact data and volume — not the intelligence required to identify the right moment.
Tools like Apollo and ZoomInfo have made it trivially easy to build lists of companies that match your ICP. What they have not built is the layer that tells you which of those companies is in an active decision window right now — and why.
Kairos was built to be that layer. Not a database. Not a platform. An intelligence function that runs continuously on your behalf and surfaces the moments your competitors will miss.
A well-timed message to a company in an active decision window will always outperform 50 messages sent to companies in no particular buying state.
A raw signal is an ingredient. Intelligence is the analysis of what the signal means internally, who it affects, and what it implies for a buying decision. That transformation requires human judgment — not just data aggregation.
Opportunity windows open and close. The job of intelligence is not just to find the window but to tell you how long it's open — so you can act before it closes.
Ten verified, well-researched targets will generate more pipeline than 500 contacts with no context. We optimise for the former.
There is a meaningful difference between a company reading blog posts about your category and a company with a budget approved, a shortlist forming, and a decision deadline. Volume-based outbound optimises for the former. Kairos is built for the latter.
By the time an RFP exists, the preferred vendor is usually already known.
Cold outreach volume is a proxy for poor timing intelligence. Teams that send 500 emails a week do so because they do not know which five would actually reply.
The best outbound message is one that arrives the day the buyer realises they have a problem. The second best is one that arrives before your competitors know the opportunity exists.
Kairos works with B2B companies globally closing enterprise deals in the $50K–$500K range. We take on a limited number of clients per quarter to maintain the research quality we are known for. See our signal intelligence methodology or review a sample intelligence report before you commit. View our plans or read client outcomes to understand the impact. We cover 20 verticals.
Buyer signal intelligence is the practice of monitoring digital and commercial data sources to identify when a company is entering an active buying cycle — before they issue an RFP, before they contact vendors, and before your competitors know the opportunity exists.
Kairos Intelligence monitors over 40 signal categories — including executive hiring patterns, funding announcements, technology migration indicators, regulatory compliance triggers, conference participation, earnings call language, and job posting velocity — to construct a complete intelligence picture for each target.
We cover SaaS, cybersecurity, AI infrastructure, health technology, financial services, data & analytics, HR technology, legal technology, revenue & sales technology, DevOps & cloud, RegTech & compliance, marketing technology, enterprise software, manufacturing technology, and supply chain technology, among others.
40+
Signal source categories monitored
6.5
Minimum confidence score for inclusion
3x
Independent signals required for corroboration
48h
Maximum report delivery from briefing
100%
Public-source intelligence — no private data
Every Kairos report could theoretically be assembled using a combination of data tools, web scrapers, and a language model. That observation is accurate — and it is precisely why most teams that attempt this approach end up with output they cannot act on. The difference between intelligence and aggregation comes down to three things: calibration, corroboration, and review.
Calibration — Every report is built against your specific ICP, deal size, and sales motion. The signals that matter for a $200K cybersecurity contract are different from those that matter for an $80K SaaS subscription. Generic automation applies the same logic to every target. Kairos calibrates signal weighting and threshold scoring to your commercial context before building any report.
Corroboration — A single signal — a job posting, an executive hire, a funding announcement — does not enter a Kairos report in isolation. Three independent signals pointing to the same organisational behaviour are required before a target is classified as active. This threshold exists specifically to eliminate false positives that automated systems routinely surface.
Review — Every report is reviewed before delivery. This is not an automated output check. It is a substantive review that removes misclassified targets, contextualises edge cases, and verifies that the recommended outreach angle reflects what is actually happening at the company — not what the data superficially suggests.
Kairos monitors over 40 public signal source categories in real time — including LinkedIn executive activity, job posting velocity, funding databases, regulatory filing repositories, conference speaker programs, earnings call transcripts, and technology adoption databases. Sources are weighted by signal reliability and recency. No proprietary, non-public, or personal data is accessed or processed.
Every target in a Kairos report receives an urgency score from 1 to 10. Scores are calculated using four inputs: signal recency (days since the triggering event), signal strength (how many independent signals confirm intent), ICP alignment (how closely the company matches the client's ideal customer profile), and opportunity window (how many days remain before the likely purchasing decision). Targets scoring below 6.5 are excluded from reports.
Kairos identifies the decision-maker and champion for each target using role-specific signals: the job title that owns the relevant budget (typically CRO, CTO, VP Product, or equivalent), recent LinkedIn activity indicating active evaluation, and inferred authority level based on company size and deal scope. Each buyer profile includes name, title, company context, and a recommended engagement approach.
Budget estimates are constructed using three inputs: comparable deal data from similar companies in the same segment and revenue band, scope indicators from the triggering event (number of seats implied, geographic coverage, technical complexity), and public pricing benchmarks for the vendor category. Estimates are expressed as ranges to reflect genuine uncertainty — Kairos does not guarantee budget accuracy but provides directional guidance for proposal positioning.
The opportunity window is the estimated number of days before a purchasing decision is likely to be made. It is calculated from the triggering event date, the typical procurement timeline for the company's segment and size, and any accelerating signals (urgency language in public communications, compressed hiring timelines, regulatory deadlines). Windows shorter than 14 days are flagged as high-urgency.
Each target's outreach kit includes three assets: a personalized email sequence opening with the specific triggering event, a LinkedIn engagement sequence, and a discovery call script. All copy is written around the specific signal — not generic templates. The goal is for the first contact to demonstrate that the vendor understands the target's current situation specifically, increasing response rates and positioning the vendor as informed rather than opportunistic.
All intelligence is sourced exclusively from publicly available information. No proprietary, personal, or non-public data is accessed or processed. Our methodology is GDPR, CCPA, and CASL compliant by design.
Kairos Intelligence serves enterprise B2B sales teams across North America, Europe, and APAC, with no geographic restriction on ICP coverage.
Every report is delivered within 48 hours of ICP briefing. No exceptions.
All intelligence is sourced from public information. GDPR, CCPA, and CASL compliant by design.