Data & AI Consulting for High-Growth Teams
Custom data engineering and generative-AI solutions that turn messy data into real-time decisions.
Live Solutions.
Built on Your Stack
See how our AI and data platform transforms business decisions across dashboards, automations, and integrations.
Live AI-powered CEO Dashboard
Live ARR, churn, and ops metrics. Just ask in natural language.
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Fully managed Generative AI
Private LLM in your cloud, returning cited answers from every source.
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Zero-Copy Lakehouse Flow
Move 4 TB / h with zero downtime and iron-clad governance.
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What we are about
30-second reel: how Ceteryx turns data into unfair advantage.
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Plug AI into your data
100+ ready-made integrations
Pricing
Whether you’re experimenting or ready for a managed platform, pick the engagement that de-risks AI while matching your budget and timeline.
1-Hour Assessment & Roadmap Call
FREE
Road-mapping call + quick win checklist.
- 30-min discovery with a senior data architect
- Rapid “data-maturity” score (live)
- 5-step quick-wins checklist emailed within 24h
3-Day Full
Assessment
Starting at $1,700
Current-state review, AI readiness score, ROI model.
- Stakeholder interviews & current-state diagram
- AI-readiness and governance scorecard
- Prioritized backlog + 12-month ROI model
- Executive debrief & next-step roadmap
2-Week Ready MVP / Proof of Concept
Starting at $5,000
One use-case built
(dashboard, ETL, or Gen-AI).
- Dedicated solution architect + engineer
- Working dashboard / ETL / Gen-AI bot in your cloud
- User training & adoption workshop
- Post-MVP optimization plan
2-Month Ready Managed Solution
Contact Us
Fully managed data & AI platform.
- Ongoing lakehouse ops + BI & AI support
- Production lakehouse with 24 × 7 monitoring
- Cost-guardrails & automated quality tests
- Monthly feature releases (BI & AI)
- Slack/Teams connect channel to your on-call data squad
1-Hour Assessment & Roadmap Call
FREE
Road-mapping call + quick win checklist.
- 30-min discovery with a senior data architect
- Rapid “data-maturity” score (live)
- 5-step quick-wins checklist emailed within 24h
3-Day Full
Assessment
Starting at $1,700
Current-state review, AI readiness score, ROI model.
- Stakeholder interviews & current-state diagram
- AI-readiness and governance scorecard
- Prioritized backlog + 12-month ROI model
- Executive debrief & next-step roadmap
2-Week Ready MVP / Proof of Concept
Starting at $5,000
One use-case built
(dashboard, ETL, or Gen-AI).
- Dedicated solution architect + engineer
- Working dashboard / ETL / Gen-AI bot in your cloud
- User training & adoption workshop
- Post-MVP optimization plan
2-Month Ready Managed Solution
Contact Us
Fully managed data & AI platform.
- Ongoing lakehouse ops + BI & AI support
- Production lakehouse with 24 × 7 monitoring
- Cost-guardrails & automated quality tests
- Monthly feature releases (BI & AI)
- Slack/Teams connect channel to your on-call data squad
Case Studies
Real results from teams that moved faster by pairing with Ceteryx.
SaaS Scale-Up
ARR visibility in one week
A Series B SaaS vendor had revenue scattered across Stripe, Salesforce, and Snowflake. In five days we stood up a lakehouse and Power BI CEO dashboard. Finance now closes books two days faster, churn drills take seconds, and Excel time fell to ad hoc analysis only.
Retail Chain
Real-time stock outs cut to zero
A 120-store apparel chain streamed POS + warehouse data into Databricks, achieving less than a minute SKU latency. Automated replenishment alerts trimmed write-offs and boosted same-store sales within the first quarter.
HealthTech
HIPAA-safe AI chatbot
We fine-tuned a private LLM on 3 M EMR notes using retrieval-augmented generation. The bot answers virtually all clinical questions, slashing call-center load by almost half. All data stays in-tenant, passing SOC 2 and HIPAA audits.
Unlock Your Data Edge
Ready to turn data into your unfair advantage? Book a free strategy call and leave with an action plan.
Why Our Clients Choose Us
We combine Silicon-Valley speed with enterprise-grade rigor
Our Blog
Monthly how-to guides on data engineering, Gen-AI safety, and scaling analytics teams.
