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 a built-in AI agent you can chat with. It is live today.
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 agent, live now. Chat with your data, get charts and answers, or connect through MCP.
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
Chat with an AI agent, build dashboards yourself or dig in with notebooks. Everything runs on your dbt models and semantic layer.
- An AI agent you chat with: ask in plain English and get accurate answers and advanced visualisations
- Self-serve dashboards and charts, built on governed metrics
- Hosted Jupyter notebooks next to your data
- Share, schedule and embed what you build
- An MCP server, to use the same governed data from your own AI tools
✦ The AI agent is live. Chat with it inside the platform. It works on your dbt models and semantic layer, so analysis is fast, accurate and consistent, and it can build advanced visualisations. Prefer to work somewhere else? Our MCP server gives your own tools the same governed data, with all the same benefits.
// learn more: Explore · Dashboards · AI agent · MCP server · Notebooks · Knowledge base
// want custom 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
platform features
Everything in the platform, in detail
Explore each part of the platform: how the semantic layer works, what the AI agent can do, how to use your data in any LLM through MCP, and more.
Semantic layer
Build is where your data becomes clean, reliable tables. A tested, version-controlled dbt project defines your models, metrics and dimensions once, and every dashboard, notebook and AI answer uses them.
learn more →
Explore
Explore is the analysis area for the tables your team has modelled. Pick a table, choose dimensions and metrics, and get a chart, or write SQL when you want to. Everything uses your governed definitions.
learn more →
Dashboards
Build dashboards from governed metrics in Explore, and bring existing reports from other tools into the same place. Everyone opens them inside the platform, with the numbers your semantic layer defines.
learn more →
AI agent
The agent answers questions about your data in plain language, shows its working and draws charts. It works from your semantic layer, so its numbers match your dashboards.
learn more →
MCP server
The Reflective Data MCP server gives any MCP-compatible AI tool access to your governed data: the same definitions as your dashboards, wherever your team works.
learn more →
Notebooks
Each project gets its own private notebook environment, started from the Notebooks page.
learn more →
Knowledge base
Knowledge is a library of Markdown documents that records how your team defines and works with its data. The AI agent reads it, so its answers match the way your team talks about the numbers.
learn more →
// also: managed pipelines · GA4 parallel tracking · documentation
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. request a demo · read the docs
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 an AI data agent.
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. Request a demo 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 can the AI agent do?
Chat with the agent inside the platform. It uses your dbt models and semantic layer, so its analysis is fast, accurate and consistent with your reports, and it can build advanced visualisations. You can also connect through our MCP server to work with the same governed data in other tools.
Can I use my data in other AI tools?
Yes. The Reflective Data MCP server gives your AI tools access to the same governed data as the platform, through your dbt models and semantic layer, so you get consistent answers wherever you work.
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. Request a demo or book a call with the team.