How would you explain your business model?

Tadit is business-to-business software with subscription revenue, priced per charge point per month. Introductory pricing is deliberately simple and low friction: 60 cents per month for a standard AC charger and 90 cents for a DC fast charger. That is roughly 10 to 15 percent of what operators already pay for the charging management platform itself, so the reliability layer costs a small fraction of the system it watches, and a single avoided technician visit pays for years of monitoring. The subscription is all-inclusive: the statistical detection engine that learns each charger's normal, anomaly detection with every fault's history, the AI agent that diagnoses root causes in about 90 seconds, automated playbooks that turn detections into tickets in the operator's own tools, and connection of the fleet to AI assistants through both text and voice, so their teams and support lines can work with live charger data in plain language. There are no tiers, no modules, and no per-seat fees at this stage; the price exists to make adoption a non-decision while the category is young, with room to move toward value-based pricing as the product proves what each charge point recovers. Customer acquisition works through a free six-week pilot: Tadit connects read-only to the operator's existing data stream, and the pilot ends with a report showing how much energy the network silently lost and where. The report itself is the sales argument, and it converts directly into a subscription.

What makes your idea unique compared to your competitors?

Charger monitoring today means watching status codes. Our idea starts from the observation that the status is exactly what lies: a charger can report "Available" for weeks while failing every session. So instead of watching the snapshot, we watch the shape. Four things make the approach unique in this category: first, drift detection with learned baselines, where statistical models learn each charger's individual normal behavior and detect when it drifts, catching the slow degradations and intermittent faults that never trip a threshold alarm, running as streaming statistics cheap enough to watch tens of thousands of chargers continuously; second, memory, where every fault keeps its history, when it first appeared, whether a repair actually fixed it, whether it is coming back, with a repair only counting as fixed when the data confirms it, something no competitor we can find maintains as persistent fault identity; third, losses measured in kilowatt hours, accounting for reliability loss in energy from real meter data, which converts to money in the operator's own tariffs, again something we can find no competitor doing; and fourth, an agent-native platform, where the fleet is exposed to AI agents as a first class interface, operators' own AI assistants connect directly, our diagnostic agent deep-dives a flagged charger and delivers an auditable root-cause verdict in about 90 seconds, and a live voice line serves drivers and field staff from the same data, with statistics deciding what deserves attention, agents explaining it, and every conclusion carrying its evidence.

Where do you see your company in the next 5 years?

The five-year goal is for Tadit to be the independent reliability standard for European charging networks: when an operator bids for a public tender, defends a warranty claim, or reports to a regulator, the evidence comes from Tadit. Year one is commercial proof: complete pilots with mid-size operators from the Berlin funnel, convert the first paid annual contracts, reach first recurring revenue, and close a pre-seed round that funds the first commercial hire. The product is built; this year buys distribution. Years two and three are repetition: scale to the first dozens of mid-size European operators, the segment big enough to feel silent failures and too small to build tooling in-house. Recurring revenue grows into the single-digit millions. On the same data, two natural products switch on: compliance and tender reporting, because EU law now makes charger reliability regulator-visible, and warranty analytics, because fault histories per hardware model are exactly what warranty claims need. Years four and five are expansion along the market's own growth: depot charging for electric truck fleets, where reliability is route-critical and the willingness to pay is highest, and embed partnerships that put Tadit inside charging platforms and operations providers as their reliability engine. By then the moat is the data: years of fault biographies across vendors and platforms that no new entrant can reconstruct. Throughout, the company stays a focused Berlin software business: a small engineering-heavy team, revenue per employee high, and one unit of truth from the first day to the last, the kilowatt hour.