Recommendations that
think like your users
Recombine's neural recommendation engine learns every click, scroll, and purchase — then surfaces the exact product or content each user needs, before they know they need it.
Trusted by teams at
Everything your engine needs
to outthink the competition
From real-time inference to A/B testing, Recombine gives you the full stack — no ML team required.
Real-Time Neural Inference
Sub-100ms recommendations powered by our proprietary transformer architecture. Processes 50+ behavioral signals simultaneously — no batch jobs, no stale data.
Multi-Model Ensemble
Collaborative filtering, content-based, and session-based models run in parallel. The best signal wins — automatically.
Built-in A/B Testing
Run recommendation experiments with statistical significance tracking. Ship the winner automatically when confidence hits your threshold.
Cold-Start Solver
New users get great recommendations from session 1. Our hybrid approach bridges the gap until behavioral data accumulates.
Explainable AI
Every recommendation comes with a reason. Show users "Because you viewed…" or use signals internally for compliance and debugging.
Revenue Attribution
Track exactly how much revenue each recommendation drives. Full funnel visibility from impression to purchase, with cohort breakdowns.
From raw data to
perfect recommendations
Ingest & Enrich
Connect your data sources via REST API, SDK, or native integrations. Recombine ingests events, catalog metadata, and user profiles in real time — enriching every signal with contextual embeddings.
Train & Adapt
Models retrain continuously on your data — no manual retraining cycles. The ensemble automatically weights the best-performing model per user segment, adapting to seasonal trends and catalog changes.
Serve & Measure
One API call returns ranked recommendations with confidence scores and explanations. Built-in impression tracking and conversion attribution close the loop automatically.
The teams who
already switched
"Recombine replaced our in-house recommendation system in two weeks. CTR went up 4× in the first month. I genuinely don't know how we shipped without it."
"The cold-start problem was killing our new user experience. Recombine solved it on day one. Our 7-day retention jumped 28% within the first quarter."
"We evaluated six recommendation platforms. Recombine was the only one that gave us explainability AND performance. The revenue attribution dashboard alone is worth the price."
"Integration took our team less than a day. The SDK is beautifully designed and the docs are actually good. We were live before lunch."
"Our editorial team was skeptical about AI recommendations. After seeing the A/B test results — 2.3× more article reads — they're now our biggest advocates."
Simple pricing,
serious results
Start free. Scale as you grow. No hidden fees, no ML infrastructure costs.
Perfect for indie developers and early-stage products exploring AI recommendations.
- ✓ Up to 10K recommendations/mo
- ✓ 1 recommendation model
- ✓ REST API access
- ✓ Basic analytics dashboard
- ✓ Community support
- ✗ A/B testing
- ✗ Revenue attribution
For scaling products that need real-time personalization and measurable revenue impact.
- ✓ Up to 1M recommendations/mo
- ✓ Multi-model ensemble
- ✓ A/B testing (unlimited)
- ✓ Revenue attribution
- ✓ Explainable AI
- ✓ Priority email support
- ✓ Slack integration
For large-scale platforms with custom infrastructure, compliance, and SLA requirements.
- ✓ Unlimited recommendations
- ✓ Custom model training
- ✓ Dedicated infrastructure
- ✓ SSO & SAML
- ✓ SLA guarantee (99.99%)
- ✓ Dedicated success manager
- ✓ On-prem deployment option