FACTUM sees both sides. A B2B SaaS platform for multi-agent market analysis, built for small and medium business. We capture your customer data and parse open market data from YouTube, Threads, TikTok and Google — and at the intersection of those two datasets, we surface what neither side reveals on its own.
Every day, thousands of comments about your niche are posted across YouTube, Threads and TikTok. Reading them by hand is impossible. Processing them on standard CPU tools is too slow and too expensive. The data exists — it's just out of reach.
ChatGPT and the like answer from their training data, not from your market. They don't know what your customers are saying today, what your competitors are doing, or which trends surfaced in your niche this week.
A professional market study starts at €5,000 and takes a month and a half. Small businesses can't afford that — so they keep building strategy on gut feeling instead of data.
FACTUM fuses proprietary brand data with open market data through a hybrid AI pipeline.
You upload the raw, unstructured material behind your business.
Your internal assumptions get tested against live market data.
The parser continuously collects from open sources across your niche and region.
A living strategic asset that updates with the market in real time.
Ten specialized AI agents, one for each analytical job: audience personas, competitor and product analysis, survey builder, prompt library, transcription, and review-and-comment analytics. Each agent works only with the user's own data — no guessing. The output of one becomes the input of the next.
Automated data collection from social and web sources: YouTube, Threads, TikTok, Google, Yandex, Otzovik. Runs around the clock, with fresh data landing continuously. The dataset is automatically segmented into three groups: your brand, competitors, and the neutral market.
A structured path through the stages of market analysis. Every step adds to the REAL DATA brand document. The Real Data % metric shows how far your decisions rest on facts rather than assumptions.
The three tools run independently but share a single database. Brand profile, parser data, and AI-agent conversations stay connected — no API proxy in between.
Every AI-agent finding is backed by a verbatim quote, with its source, reaction count, and date. If the answer isn't in the dataset, the agent says so plainly. Nothing is generated from the model's training data.
When market data contradicts a brand's internal assumptions, FACTUM flags it as a ⚠ Discrepancy. Not confirmation of what you already believed — the facts that change the decision.
Audience personas from the audience analysis feed straight into competitor analysis. The product breakdown gets checked against both. First-stream assumptions are tested against second-stream data. Each step builds the document — with no manual data transfer.
Comments are always split: your brand / competitors / neutral market. Agents analyze each group separately, then compare across them — which keeps signals from blurring together and sharpens every conclusion.
FACTUM is built as a product-grade B2B SaaS platform with a multi-agent AI core and a proprietary pipeline for collecting and processing unstructured data — proven under continuous load.
Specialized AI agents run in parallel and sequential chains. Each agent owns a distinct scope, with validation on its inputs and outputs. Their artifacts accumulate in a single brand document.
The parser collects continuously, consolidating a dataset of over 5 million units of mixed-type content from 1,000+ sources. Validated on live sources, architected to scale horizontally to thousands.
Sentiment tagging, audience clustering, topic modeling and insight extraction across millions of units of unstructured content. Brand data is matched semantically against the external market dataset — and the intersection is where testable hypotheses form.
Engineered to move its compute core onto the NVIDIA stack: NIM microservices for local inference, GPU acceleration for parsing, tagging and transcription, and a fine-tuning pipeline that adapts models to each client's niche — the AI colleague that knows your market.
You handle several clients and need data fast — tailored to a specific niche and region. FACTUM gives you a tool you operate yourself: it knows your client's market and keeps updating long after the project ends.
You make the calls without an analytics team. FACTUM walks you through a structured path and hands you a concrete artifact at every step — not vague advice, but data with sources and quotes.
You need one verified database on the market, audience and competitors for the whole team — or for a client you work with. The REAL DATA brand document is a living source of truth that refreshes with every new data pull.
FACTUM is software the user operates themselves. Not analysis-as-a-service — a tool that stays and keeps working.
Subscription model, complemented by a B2B track. Pricing scales with the volume of data processed.
Founder, product architecture, platform development. Designs the multi-agent system and the user journey.
Parser, infrastructure, ML pipelines. Python, FastAPI, large-scale text processing, deployment on Hetzner VPS. Owns the platform's compute core.
Market analysis, positioning, validating product hypotheses against real SMB data.
User-journey structure, the logic of how data accumulates, and the content of each analytical stage.
A working product in production with 20+ paying customers. Get on the platform and turn your blind spots into decisions.
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