the platform
Your entire data stack. One platform.
Pipelines, transformation and exploration, connected by a single login and a single set of connections. Use all of it, or just the part you need.
✦ Ready for the AI era. Pipelines that feed your AI agents, a semantic layer that keeps their answers consistent, and AI-assisted exploration built in.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
who it is for
One platform, every data role
Marketers & analysts
Self-serve answers from trusted data, without waiting on engineering. Ask in plain English or build your own dashboards.
Data engineers
Managed pipelines and hosted dbt with git workflows. Spend your time on models and decisions, not on keeping infrastructure alive.
Leaders
One governed source of truth, one set of metric definitions and a data foundation that is ready for AI.
architecture
How data moves through the platform
From your sources to your warehouse, through a governed model, into dashboards, notebooks and AI. Every step reads and writes your own warehouse.
your sources
reflective data platform
01 · extract + load
Pipelines
Pull data from hundreds of sources and integrations into your warehouse. Includes GA4 parallel tracking.
02 · transform
Build
Hosted dbt plus a semantic layer: versioned SQL, tests, docs and scheduling.
⎇ GitHub support. Keep your models in your repo and ship changes through pull requests.
03 · analyze
Explore
Self-serve dashboards and Jupyter notebooks.
✦ AI-assisted exploration. Ask in plain English, get queries, charts and answers.
optional · your own bi tools
optional · fully managed services
We run the whole thing for you
Sources to dashboards: pipelines monitored, models maintained, reporting built. Your team gets answers instead of infrastructure.
01 · pipelines
Data from any tool, in your warehouse
Hundreds of ready-made connectors, plus custom ones when you need them. Pipelines run on our infrastructure and are monitored by our team.
- Hundreds of sources: ads, analytics, CRMs, databases, files and APIs
- BigQuery, Snowflake, Amazon S3 and other destinations
- High-speed replication for large datasets, including CDC for databases
- Proactive monitoring, so broken pipelines get fixed before you notice
★ Most popular: GA4 → BigQuery via Parallel Tracking. No 1M-event export cap, and a popular, far more affordable alternative to GA360.
NAME SOURCE DEST STATE ga4-main ga4 bigquery healthy google-ads google_ads bigquery healthy meta-ads meta_ads snowflake healthy crm-contacts hubspot snowflake healthy orders-db postgres s3 syncing # + hundreds more connectors available
// illustrative
select date_trunc(order_date, month) as month, channel, sum(revenue) as revenue from {{ ref('stg_orders') }} join {{ ref('stg_sessions') }} using (session_id) group by 1, 2
// illustrative
02 · build
Hosted dbt with a semantic layer
Turn raw tables into trusted models and metrics, with no orchestration or infrastructure to run yourself.
- Version-controlled SQL models with tests and documentation
- Scheduling and run monitoring built in
- A semantic layer, so every dashboard and AI answer uses the same definitions
- Runs on your warehouse; your SQL, your data, no lock-in
⎇ GitHub support. Keep your models in your repo and ship changes through pull requests.
// want help building the models? our team can build them for you
03 · explore
Answers for everyone, from dashboards to notebooks
Self-serve exploration on top of your semantic layer, with hosted Jupyter notebooks for the deeper questions.
- Self-serve dashboards and charts, built on governed metrics
- Hosted Jupyter notebooks next to your data
- Share, schedule and embed what you build
✦ AI-assisted exploration. Ask a question in plain English and get the query, the chart and the answer, grounded in your semantic layer. More AI features are coming very soon.
// want AI agents on top of your data? see our AI services
ask "top channels by revenue growth, Q3?" → metric: revenue · by: channel · Q3 → query generated from the semantic layer paid_search ██████████████████ +24% email ██████████████ +17% organic █████████ +9%
// illustrative
unified layer
Set it up once. It works everywhere.
What makes the platform different from three tools stitched together: connections, people and projects are shared across every part.
One set of connections
Connect your warehouse and sources once. Pipelines, build and explore all use them.
One login, one permission model
Users and accounts managed in one place, with the same access across every part.
Projects that span the stack
A project groups its pipelines, models and dashboards, so teams and clients stay organised.
modular
Buy the whole platform, or just one part
Just pipelines
Get data into your warehouse. Keep your existing dbt and BI.
Just hosted dbt
Already have the data? Run your models and semantic layer without the ops.
The full platform
Pipelines, build and explore together, for the most connected experience.
// pricing is tailored to your sources, volume and the parts you use. get a quote
faq
Frequently asked questions
What is the Reflective Data platform?
An integrated data platform with three parts that work together: pipelines that move data into your warehouse, hosted dbt with a semantic layer to model it, and Explore for dashboards, notebooks and AI-assisted exploration.
Can I buy just one part of the platform?
Yes. Pipelines, hosted dbt and Explore can each be bought on their own, or together as the full platform.
How is the platform priced?
Pricing is tailored to your sources, data volume and the parts you use. Get a quote or schedule a consultation.
Which warehouses does it work with?
BigQuery is the most common, and the platform also works with Snowflake, Amazon Redshift, Amazon S3 and other warehouses and lakes.
What does hosted dbt include?
Version-controlled SQL models, tests, documentation, scheduling and a semantic layer, with GitHub support and no infrastructure for you to run.
What is AI-assisted exploration?
Ask a question in plain English and get the query, the chart and the answer, grounded in your semantic layer. More AI features are coming very soon.
Can you run the platform for us?
Yes. Our team can operate the whole platform end to end as a managed service. See managed platform.
Is it ready for enterprise use?
Yes. It is built for enterprise scale and already used by multiple Fortune 100 companies, with dedicated support, access control and SLAs.
enterprise-ready
Built for enterprise. Trusted by multiple Fortune 100 companies.
camino/financial
support /
Dedicated support & success
Named customer success managers and proactive monitoring to keep your pipelines healthy.
security /
Access control & governance
Single sign-on, fine-grained roles and audit logs, with enterprise encryption standards.
reliability /
Scale and SLAs
High-throughput pipelines for millions of records, backed by contractual SLAs and priority response.
optional · fully managed services
Want us to run it for you?
Our team can operate the whole platform end to end: pipelines monitored, models maintained, reporting built.
Tell us what you need. We'll scope it.
Pricing is tailored to your sources, volume and the parts of the platform you use. Get a quote or book a call with the team.