Intelogos: selling AI workforce analytics to data-driven teams at $100K a month

Intelogos sells AI-powered workforce analytics and performance management software to data-driven teams, and was bringing in $100K a month as founder and CEO Vasily Malyshev reported in a Starter Story interview published January 27, 2024.

How it started

Before Intelogos, Malyshev spent almost a decade running Messapps, a New York-based software development agency that began semi-remote and later went fully remote. Managing that team exposed the same frictions remote work is known for: staff turnover, uneven work quality, and the difficulty of giving feedback that actually lands. Requests such as a developer's salary raise got decided subjectively, on possibly biased input from whoever worked most closely with that person.

Conversations with leaders at similarly sized and larger companies — including an online furniture store, an East Coast US bank, and a senior engineer at a major US company — surfaced the same complaint about collecting comprehensive reports and feedback from employees. He also points to a Gallup study he came across during this period, which he says confirmed traditional performance management was broken: inadequate metrics, infrequent reviews, ineffective feedback, and employees left underutilized and unmotivated. He studied at New York Law School alongside this work. Intelogos started in August 2022, based in New York, NY.

The first version was not software at all. APIs pulled data from third-party sources into Google Sheets, and formulas parsed it into stats for people inside his own team. That was enough to show the idea was feasible and produced useful data. The next step was asking other managers and executives whether such data would be useful to them.

What it sells and how it charges

According to the official website as fetched on 2026-09-30, Intelogos is "AI-native workforce analytics that turns real-time activity into KPIs, benchmarks, and recommendations," positioned as AI performance management for data-driven teams. Its AI assistant answers questions asked in natural language and returns explainable insights across a company, a team, a project, or a single person. The homepage also displays a "G2 4.9+ review average."

Pricing is a per-license monthly subscription, billed monthly or yearly, with yearly billing described on the site as saving 20%. Analytics is listed free; the AI Intelligence tier adds the AI assistant and related features; Enterprise is quoted as custom. The specific per-license monthly figure for AI Intelligence is shown as a price on the pricing page rather than stated here.

Plan	Price as listed	What's included
Analytics	$0 per license/month	Basic AI (5 insights/month), engagement, productivity, activity and more; team and daily activity views; detailed activity logs; advanced reports and snapshots; tool categorization; projects tracking; time off management; desktop and background agents
AI Intelligence	Paid per license/month	Everything in Analytics, plus the Ask AI assistant, chat history, starting conversations from insights, AI performance summaries, AI coaching recommendations, Intelogos MCP, priority support
Enterprise	Custom (contact sales)	Everything in AI Intelligence, plus SSO/SAML authentication, audit logs, custom data retention, API access, a dedicated account manager, customized features, and team onboarding

How it got its first customers and what kept growth going

The launch that mattered was Product Hunt. Against expectations, the company reached the top 5 startups of the day, and that translated into hundreds of leads overnight, many of them in the target market. Coverage followed in newsletters aimed at SaaS and AI products, which put the story in front of decision-makers across industries, and social networks picked up quotes about the launch.

Two venture funds reached out afterward. The first judged the company too early to invest but stayed on to advise on strategic matters; the second invested $500,000. Malyshev has described SEO as a great long-term strategy but one that delivers few immediate results, and said the team was looking to start PPC ads once its next update was ready.

On the cost side, he described costs as relatively small because the team is fully remote, while naming server costs as one of their struggles given how much data the product handles. He also said the product architecture was rebuilt to be modular so that separate feature sets can be worked on independently and priced separately.

The numbers

Revenue: $100K a month, founder-reported in the January 27, 2024 interview. That figure describes what he said at that date and is not presented as current revenue.
Funding: $500,000 from the second venture fund that approached after the Product Hunt launch.
Team: 1 founder, 6 employees at the time of the interview.
Founded: August 2022, based in New York, NY, USA.
Start-up cost: not stated. He did not give a launch-cost figure; he said only that costs are relatively small with a fully remote team and that server costs are a continuing pressure point.

How it compares

The comparison below comes from 1M.chat's analysis of 1,997 businesses with founder-reported revenue in Starter Story interviews (2015–2026) — a self-selected sample of founders who chose to be interviewed, not a random sample of all businesses. In the Software & SaaS category, 354 businesses reported revenue.

Measure	Software & SaaS cases (1M.chat analysis)	Intelogos (founder-reported)
Monthly revenue	Median $40K	$100K in January 2024 — about 2 times the category median
Employees	Median 4.0	6 at the time of the interview
Started by one founder	45% of the category	Yes, 1 founder
At $1M a year or more	35% of the category	Not stated in the interview terms used here

Among the 244 businesses in the category with channel information, the most commonly reported growth channels were organic social media (55%), SEO and organic search (54%), word of mouth and referrals (31%), and paid ads (31%). Those are the shares other founders reported, not a measure of what any channel will return.

What a founder can take from this

Validate with the cheapest possible build. The first version was Google Sheets fed by third-party APIs. It settled feasibility without a product team or a codebase.
Ask before you build more. Talking to managers and executives directly is how the idea moved past a personal annoyance. He recommends reading Mom's Test to get better at filtering fake praise from real feedback, and advises trying to sell as early as possible — even to small clients — to test whether interest is real.
Put a measurement point ahead of the launch. His stated regret is not building a landing page with a waitlist before launching; it would have given a reading on initial interest and a list of people to talk to.
Treat one launch as a distribution event. A single Product Hunt placement produced hundreds of leads, newsletter coverage, and investor conversations that ended in a $500,000 check. That is this company's sequence, not a repeatable formula.
Keep cost structure and packaging adjustable. A remote team kept costs small while server costs became the problem; rebuilding the product as modules created room to price features separately and test plans.

None of this predicts your revenue. These are one founder's reported figures at one date, alongside what 354 comparable cases reported.

Sources

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure