Turn raw enterprise data into trusted operational intelligence.
Build open, hybrid lakehouses, streaming CDC pipelines, and AI-driven business intelligence. Eliminate fragmented spreadsheets and query petabyte-scale datasets with zero vendor lock-in.
10x
Faster Query Execution
99.99%
Pipeline Reliability SLA
<100ms
Real-Time Ingestion Latency
Zero
Data Duplication / Copying
Data Architecture Pillars
A modern foundation for enterprise data truth.
Fragmented databases and inconsistent reports cost companies millions. EBM provides four pillars to unify, clean, and model your data in real time.
Open Hybrid Lakehouse & Storage Engine
Unify relational tables, unstructured files, and vector embeddings in open formats.
Built on Apache Iceberg and Postgres with pgvector. Store data once in your private VPC or cloud storage and query across SQL, ML models, and analytics without ETL sprawl.
CREATE TABLE IF NOT EXISTS canonbase.warehouse_orders (
order_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
tenant_id VARCHAR(64) NOT NULL,
amount_cents BIGINT NOT NULL,
status VARCHAR(32) NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
) PARTITION BY RANGE (created_at);
CREATE INDEX idx_tenant_status ON canonbase.warehouse_orders (tenant_id, status);Product Portfolio
Enterprise Data & Analytics Software Suite
Explore our comprehensive catalog of databases, data pipeline designers, and analytical engines.
EBM Databases for Elasticsearch
Fully managed, scalable Elasticsearch clusters optimized for high-throughput log analysis and full-text search.
Unified Data Workbench
Interactive data studio for engineering teams to inspect, clean, and transform multi-source datasets.
Document Database Service
Serverless JSON document database with dynamic horizontal scaling and sub-millisecond document lookups.
Business Intelligence Studio
Turn organizational data into real-time decision dashboards with an AI-assisted SQL co-pilot.
Data Pipeline Designer
Drag-and-drop workflow designer to author, validate, and orchestrate complex data transformation graphs.
Core Relational Database
Enterprise-hardened PostgreSQL instance configured for low-latency ACID transactions and time-series analytical queries.
Optimization Modeling Studio
Formulate, test, and benchmark complex linear and integer optimization models for enterprise logistics and supply chains.
Planning & Forecasting Suite
Statistical time-series forecasting and scenario planning models tailored for financial planning and inventory management.
System Architecture
The 4-tier Data Platform Stack
Decouple compute from storage while ensuring unified governance and sub-second query performance across your entire enterprise.
Semantic Modeling & BI Experience
Core Subsystems & Modules
Security & Isolation Standard
End-user row filtering, SSO identity integration, OAuth token authentication
Need custom VPC deployment or air-gapped on-premise installation?
Request Custom Technical Spec →Consolidating 14 Legacy Databases into a Unified Real-Time Lakehouse
How a multi-entity retail and logistics group unified disjointed reporting into real-time operational dashboards with sub-second queries.
92%
Reduction in ETL Maintenance Time
<250ms
Dashboard Query Response Time
100%
Data Reconciliation Accuracy
Deployment Profile
Engineering Lab & Research
Latest from our Data & Analytics Lab
Real architectural lessons, production runbooks, and benchmarks from our engineering teams.
Insight
Cloudflare Turnstile never renders inside a collapsed <details> — and it never retries
A Turnstile widget placed inside a closed <details> element is skipped at page load and is never rendered, even after the element is opened. If your server verifies the token, every real submission is rejected. Here is the mechanism, the fix, and the debugging trap that cost us two hours.
2026-08-18 · 5 min read
Insight
Why we build instead of just consulting
Most firms tell you what to do. We built PhotoSense first, then decided to help other founders do the same.
2026-07-03 · 3 min read
Insight
Why 2026 is the year AI agents stop being a pilot project
Industry forecasts put enterprise agent adoption above 80% this year. The gap that actually decides who benefits isn't access to AI — it's whether the agent is built for one job or ten.
2026-07-01 · 3 min read
Not sure where to Start?
Give us thirty minutes. We will look at how your business runs today and tell you what is worth fixing first, at no cost.
Already know What You Need?
Tell us the problem and we will come back with a plan, a timeline, and what it costs, before any work begins.
Questions people Ask Us.
If yours is not here, just ask. See all questions.
It depends on the engagement. Some are service fees, some involve equity, some are a mix. We agree the terms in writing before any work starts, so nothing lands on you later that you did not already know about.
Most builds land in weeks rather than months, because we run the steps together instead of one after another. The honest answer for your project depends on its scope, and you get a specific timeline before anything starts.
We stay on it. We watch it, support it, fix what breaks, and keep adding to it as your business changes. Going live is the start of the work, not the end of it.
Not unless you want us to. In most cases we connect to what you already run, so your team keeps the tools they know and nothing you depend on breaks overnight.
That is normal, and it is usually where we start. Spreadsheets that disagree, half-filled records, and information sitting in three places are the ordinary state of most businesses, not a reason to wait.
You can, and sometimes you should. But a full-time hire is a long commitment for work that may take weeks. We exist for the businesses that need real delivery without carrying the headcount for it.
Yes. We scope to what you actually need rather than a minimum contract size, so a single workflow is a perfectly reasonable place to begin.