AI · Recommendations
Recommendation engine development,for digital commerce and content platforms.
Personalized rankings for catalogs, content, and workflows — blending collaborative signals with embeddings and business rules.
01 / Products shipped
250+
02 / Countries
30+
03 / Active clients
200+
04 / Building
8+ yrs
Recommendation engine development recommendation systems with explainable ranking and production monitoring.
We scope recommendations engagements around measurable outcomes: task success, resolution time, or revenue lift — then ship in weekly increments with demos your stakeholders can evaluate.
What we typically ship for recommendations.
- 01
Ranking APIs
Ranking APIs with documentation, monitoring, and handover your engineering team can extend.
- 02
Real-time features
Real-time features with documentation, monitoring, and handover your engineering team can extend.
- 03
A/B experiment hooks
A/B experiment hooks with documentation, monitoring, and handover your engineering team can extend.
- 04
Cold-start strategies
Cold-start strategies with documentation, monitoring, and handover your engineering team can extend.
- 05
Merchandising rules
Merchandising rules with documentation, monitoring, and handover your engineering team can extend.
- 06
Performance monitoring
Performance monitoring with documentation, monitoring, and handover your engineering team can extend.
Intelligence for recommendations with guardrails.
- 01 · AI
Hybrid retrieval
Hybrid retrieval designed alongside policy, evals, and fallbacks so production behavior stays predictable.
- 02 · AI
Session-aware ranks
Session-aware ranks designed alongside policy, evals, and fallbacks so production behavior stays predictable.
- 03 · AI
Explainable picks
Explainable picks designed alongside policy, evals, and fallbacks so production behavior stays predictable.
- 04 · AI
Bias checks
Bias checks designed alongside policy, evals, and fallbacks so production behavior stays predictable.
Tools we deployin the wild.
Representative platforms for recommendations programs — matched to your cloud, compliance, and team skills.
Platforms & tools
- Python
- Redis
- PostgreSQL
- Vector DBs
- Kafka
- BigQuery
Selected engagements
A glimpse of what we ship
AISports Technology
Bet365 | Sports Automation Platform
Bet365 is a real-time sports operations platform that ingests Telegram publisher feeds, parses structured event signals, and executes actions on the Bet365 platform with full auditability.
BackendAutomationBot
Retail & E-commerce
Global Diamond Montreal | Fine Jewelry E-Commerce
Premium jewelry e-commerce for engagement, wedding, and gift collections — live at globaldiamondmontreal.com.
Web ApplicationUI UX DesignE-commerce
Finance
Capium 365 | Business Accounting App
SMB accounting workspace for invoices, expenses, and reporting.
Mobile AppUI UX Design
Offshore depth, onshore clarity for recommendations.
- 01 · Edge
Evals before launch
We benchmark prompts, retrieval, and model routes against real tasks — not vanity demos.
- 02 · Edge
Guardrails by default
PII handling, refusal paths, rate limits, and human escalation are designed in, not bolted on.
- 03 · Edge
Observable in prod
Tracing, cost dashboards, and quality signals so you know when models drift or spend spikes.
- 04 · Edge
You own the stack
Prompts, pipelines, weights, and infra transfer at close — no black-box vendor lock-in.
See Our AI / ML engineering service for how engagements run.
Common questions about recommendations
Many pilots ship in 4–8 weeks after discovery, depending on data readiness and integration count.
Yes — we integrate hosted APIs, fine-tuned weights, or on-prem models your security team approves.
We design retention, redaction, and access controls up front — aligned to your compliance requirements.
We offer observability setup, eval refresh cycles, and optional managed support tiers.
Turn your roadmap into living AI products.
Tell us what you want to launch — we’ll outline a practical path from first prototype to production, with milestones you can track and no forced long-term contract.
Response time
Under 1 business day
Confidentiality
NDAs on request
First prototype
Often within a week