Flat-cost real-time audience & revenue intelligence. Constant-time queries unlock data-driven bid decisions, live dashboards, and continuous experimentation—without the per-query tax.
Calculate Your SavingsCapacity-based pricing eliminates the per-query compute tax on ad-hoc analysis, AI workloads, and exploratory queries — the portion of your stack that scales with usage.
Constant-time distributed search across petabytes in seconds—enabling data-driven bid decisions, real-time dashboards, and live experimentation.
One converged datastore replaces the warehouse, lake, stream processor, feature store, and queues—simplifying your stack and accelerating every team.
At a typical floor price of $2–10 per TB/query, a simple analysis across a petabyte-scale dataset costs $10,000 per query—extracting a massive compute tax from publishers trying to monetise their data.
| Pain Point | What Happens Today | Business Cost |
|---|---|---|
| Bid timeouts & under-filled impressions | Columnar warehouses can’t answer within the auction window; you pre-compute coarse segments | Lower fill, suppressed CPMs |
| Exploding CDP / warehouse bills | Pay-per-query models punish ad-hoc analysis and AI use; teams ration queries | Data questions go unasked, innovation stalls |
| Stale advertiser & editorial reporting | Overnight ETL means dashboards lag hours or days behind | Trust gaps and missed optimisation windows |
| Identity decay | Weekly batch resolution across devices & partners | Shrinking match rates, lost addressability |
| Slow product & paywall experiments | Schema changes + pipeline rebuilds mean tests only work quarterly | Sluggish subscription growth & UX improvement |
MinusOneDB isn’t another point solution. It’s a foundation layer that collapses the warehouse, lake, stream processor, feature store, and queue into one rebuilt distributed-search datastore that is 100–1000x more efficient per query on a price/performance basis.
| Legacy Limitation | MinusOneDB Capability | Clean, Immediate Win |
|---|---|---|
| Pay-per-query bills that explode with every analyst & ML job | Capacity-based flat pricing — marginal cost per query trends to fractions of a cent | Democratise data use; let every trader, scientist & agent explore freely |
| Exploratory analytics on 100M+ rows runs in seconds-to-hours | Constant-time distributed search — petabyte results in seconds | Iterate on campaigns in flight; faster packaging & sales storytelling |
| Bid-time logic hard-wired — new data can’t shape header-bidding | Fast decisioning with fresh ML scores or behavioural data | Bring 1P data, context & model outputs into every auction |
| Weeks of ETL to surface new columns / metrics | Schema-flexible ingest + real-time propagation; new fields queryable in minutes | Beat the news-cycle with new audience products — zero rebuilds |
| Batch ingest with micro-batch lag & complex ETL | True streaming ingest visible in ~2 seconds | Real-time dashboards & on-the-fly cohort updates |
| Weekly ID graph refreshes stitched offline | IdentityForge real-time synthesis across channels & partners | Significant match-rate improvements; richer cohorts for buyers |
| Ad-hoc segmentation throttled by cost and compliance | CleanForge in-place compute on governed data, capacity-priced | Broad segmentation & experimentation without extra copies |
| Manual, slow model lifecycle | ModelForge hyper-scale model evolution — score billions of events against thousands of models daily | Always-on optimisation of yield, paywall, and engagement |
Capabilities that pay-per-query stacks can’t economically support — because at capacity pricing, every query runs at the margin.
Build, maintain, and sell user segments based on behaviour that refresh every ~2 seconds — package long-tail audiences (“Climate + Sports today + 3 min engaged”) as a continuously updated data product.
Query rolling win-rate/CPM and adjust floors before sending the bid for expected CPM uplift.
IdentityForge merges ID-graph updates seconds after they land—higher match-rate, more qualified bids.
Launch or kill segments and model variants immediately; no nightly rebuild.
These are not out-of-the-box products, but implementations we help build into your architecture on reasonable costs and timelines.
Constant-time queries across petabytes. True streaming ingest visible in ~2 seconds. Any dataset rebuilt from object store in ~3 hours.
REST API + JS SDK • SOC 2 certified
Test hundreds of pricing, targeting, and optimisation models simultaneously. Score billions of impressions and user interactions against thousands of models daily. Fixed-cost—no per-query pricing.
Continuously updated visitor profiles across sessions and devices. Probabilistic matching connects anonymous behaviour with known users. Privacy-resilient design adapts to regulatory changes and browser restrictions.
Hardware-isolated workspaces for publisher-advertiser data sharing. Federated queries span every partner while raw rows stay home. Capacity pricing kills the per-query tax and rewards exploration.
Maximum yield through algorithmic floor-price optimisation. Higher direct-sold CPMs via differentiated audience packaging. Reduced revenue leakage through comprehensive auction analytics.
Unified first-party data across all touchpoints. Real-time segmentation for instant audience activation. Future-proof identity strategy resilient to cookie deprecation.
Content performance insights that drive editorial strategy. Personalisation capabilities that increase engagement. Subscription optimisation through behavioural modelling.
Simplified data architecture that reduces maintenance burden. Predictable costs through capacity-based pricing. Scalable performance that grows with your traffic.
| Phase | Timeline | What Happens |
|---|---|---|
| Discovery | Week 0–2 | Map data flows & revenue goals; select 2–3 quick-win use cases |
| Proof of Value | Week 3–12 | Run MinusOneDB on 5–10% traffic; side-by-side KPI comparison |
| Full Roll-Out | Week 13–30 | Swap warehouse, CDP jobs & analytics pipelines; enable CleanForge partner access |
| Continuous Optimisation | Ongoing | Quarterly model & strategy refresh; joint business review |
