You approved the budget for Fivetran, Databricks, Snowflake, ThoughtSpot — and six months later you're still waiting for a dashboard that works. Cloud AI Nexus is the complete platform your team actually needed from day one.
You've been here before. The vendor demo looked incredible. The procurement took three months. The implementation took six. And now you have a pipeline that breaks every time someone changes a column name — and a NLQ tool that hallucinates answers from uncertified data.
"The AI gave us the wrong number." Because every NLQ tool on the market queries whatever tables it can reach — raw, dirty, uncertified. Yours needs Gold-only access. Always.
"We need three sprints to add a new data source." Hardcoded pipelines mean every new domain is an engineering ticket, a PR, a deployment window, and a prayer.
"Databricks is costing us a fortune and we've barely scratched the surface." DBUs add up fast. Half the platform sits unused. The other half needs a specialist to operate it.
"Our Snowflake bill doubled last quarter and nobody knows why." Credit-based compute with no hard ceiling. Every exploratory query someone runs lands on your invoice. And you still need Fivetran on top to get data in.
"Our data is leaving our environment." SaaS vendors ingest your data into their cloud. For regulated firms, that's not a feature. That's a risk.
A complete Bronze → Silver → Gold data lake, orchestrated by AWS Step Functions, with natural language querying locked to certified Gold data only.
Unlike every other NLQ tool, ours only queries DQ-certified Gold data. No hallucinations from dirty tables. Same question, same answer, every time.
New dataset? Add a profile.json. No code changes, no deployment, no PR. The same pipeline engine serves every domain through configuration alone.
Policy-driven pipeline control. STOP on critical DQ failures, quarantine on high severity, continue on low. Full execution lineage built in.
Deploys entirely within your VPC and AWS account. No SaaS ingestion, no vendor data access. Audit-grade CloudTrail on every query.
Kinesis streaming connector for near-real-time domains like FINRA CAT. Batch processing for regulatory reporting like EMIR and CFTC Part 45. Same Gold layer, same NLQ interface.
Auto-generated charts from NLQ results. Line charts for time series, bar charts for categorical data, results table with CSV export — all included. No Tableau, no Quicksight seat costs.
Full AWS CDK deployment. Repeatable, version-controlled, environment-aware. Deploy to dev in minutes, promote to prod with confidence.
DQ checks at Bronze and Silver. Critical failures stop the pipeline. Failed data is quarantined with full metadata — never silently dropped. LEI validation, regex rules, conditional checks all profile-driven.
Run sales analytics and EMIR regulatory reporting on the same infrastructure. Domain logic lives in the profile, not the code. Add a vertical in a day, not a sprint.
Each domain gets its own profile — DQ rules, transformation modules, Gold definitions, and NLQ context. The core platform never changes.
New domain onboarding takes 5 minutes. Add a profile.json defining your schema, DQ rules, and Gold definitions. No core code changes. No deployments. The platform adapts automatically.
MiFID II, portfolio reporting, and client suitability frameworks require fully governed, auditable, and traceable data — including transactions, holdings, valuations, and performance metrics. that work is already done. Firms can unify custody, trading, and market data into a single governed platform and enable analytics, and AI-driven insights in days, not months.
How we compare against the tools your team is already evaluating
| Capability | Fivetran + dbt + ThoughtSpot / Tableau |
Databricks + Tableau / Power BI |
Snowflake + Fivetran + Sigma / Tableau |
Cloud AI Nexus |
|---|---|---|---|---|
| NLQ on certified data only | ✕ raw or uncertified tables | ✕ no enforced certification layer | ✕ queries any schema it reaches | ✓ Gold only, always |
| New domain onboarding | Weeks of engineering | Sprint + notebook scaffolding | Days — DDL + pipeline config | ✓ 5 min — profile.json only |
| Data stays in your cloud | ✕ Fivetran ingests to their infra | ~ can deploy in your cloud | ✕ Snowflake-hosted, data leaves VPC | ✓ Your AWS VPC, always |
| BI per-seat licence cost | ✕ £40k–160k/year | ✕ £30k–120k/year | ✕ £40k–140k/year | ✓ Zero — charts included |
| Two-stage DQ enforcement | dbt tests at transform only | Delta Live Tables — complex setup | Data Quality rules — Snowflake only | ✓ Bronze + Silver + Gold cert. |
| Regulatory & insurance support | Custom connectors needed | Build it yourself on notebooks | Marketplace connectors, variable quality | ✓ EMIR · FINRA CAT · Solvency II · REMIT |
| Compute cost model | Glue + Athena pay-per-use | ✕ DBU credits — expensive at scale | ✕ Credit-based — costs spike unexpectedly | ✓ AWS pay-per-use, no platform tax |
| Streaming + batch unified | Separate tooling needed | ~ Structured Streaming — complex | Snowpipe for streaming, separate config | ✓ Kinesis + S3 — one platform |
| Infrastructure as code | Terraform / varies by tool | Terraform provider available | Terraform provider available | ✓ Full AWS CDK — one deploy |
You just saw what Databricks and Snowflake cost. Against £360k–£1M a year, Cloud AI Nexus isn't a line item — it's the decision that makes every other line item disappear.
A single mid-range data engineer in London costs £80,000–£110,000 a year in salary alone — before NI, pension, tooling, and management overhead. The Founder's Special is less than three months of one engineer. And it replaces what that engineer would spend the next year building.
30 minutes. We look at your current stack, your data domains, and your NLQ ambitions. No pitch — just patterns. You'll leave with a clear picture of what's possible.
Typically suited to: financial services · insurance · regulated industries · data-heavy teams