01
Operations Analytics
Cross-asset reliability, performance, and KPI dashboards.
Energy / Data Platform
The Data Backbone Every Modern Energy Operator Needs
We engineer modern lakehouse platforms that unify SCADA, AMI, PI, market, weather, and asset data into a single, query-friendly source of truth — powering operations, trading, and ESG from one place.
10TB/day
Sustained ingestion across deployed clusters
<2s
Median analytical query latency
1 platform
For ops, trading, and ESG analytics
Trusted by global innovators
Industry Overview
One Platform, Many Energy Workloads
Most energy operators run a half-dozen disconnected data stores: PI for OT, an AMI head-end, a trading data store, a CSV exchange for ESG, and ad-hoc Excel everywhere else. We unify them into a modern lakehouse that any team can query — with the access controls and governance the business actually requires.
Industry Challenges
The Pain of Fragmented Energy Data
Fragmented data costs in compliance risk, engineering velocity, and missed market opportunity.
Tooling Sprawl: Each team brings its own preferred database — and no two agree on what's authoritative.
Slow Insight: Asking 'what was the wind farm doing during last month's price spike?' takes a week of cross-team digging.
Compliance Risk: ESG and regulatory reports rely on copied-and-pasted snapshots without lineage.
Cloud Cost Surprise: Naive lifts to Snowflake or BigQuery balloon costs when energy data volumes hit production.
Our Approach
An Energy-Specific Lakehouse Engineering Approach
We bring the modern data stack — but tuned for the realities of OT data, time-series workloads, and energy-specific access patterns.
Open Lakehouse Foundations
Iceberg or Delta tables on object storage — no proprietary formats, no vendor lock-in.
Time-Series First
Specialized layouts and indexes for AMI, SCADA, and PI data that crush query latency.
Cost-Aware Layouts
Tiered storage, partitioning, and compaction strategies tuned to energy workload patterns.
Capabilities
Capabilities
Built for the people who actually use energy data every day.
Unified Source Connectors
PI, OSI Monarch, Itron, Landis+Gyr, OPC-UA, FERC EQR, ISO market feeds.
Time-Series Optimization
Storage layouts and indexes tuned for AMI and SCADA query patterns.
Modeling Layer
dbt-based modeling with energy-specific semantic layer for common metrics.
Self-Service BI
First-class connectivity to Tableau, Power BI, Looker, Hex, and Streamlit.
Notebook Workspaces
Jupyter, Hex, and Databricks workspaces with row-level access controls.
Streaming Ingestion
Real-time ingestion of operational data sits next to batch with consistent semantics.
Lineage & Catalog
Column-level lineage from raw source to dashboard, exposed in OpenMetadata or DataHub.
Access Controls
Row, column, and tag-based access controls aligned to your IAM.
Cost Observability
Per-team, per-workload cost attribution and proactive optimization.
How It Works
Reference Architecture
Open formats, open standards, and operational discipline.
Source Connectors
Streaming and batch connectors for OT, AMI, market, and enterprise sources.
01
1
Bronze Layer
Raw, append-only ingest tables with full source metadata and replay capability.
02
2
Silver Layer
Cleaned, conformed, and joined entities — meters, intervals, assets, accounts.
03
3
Gold Layer
Business-ready marts: ESG, trading, operations, customer.
04
4
Semantic Layer
dbt + cube semantic layer for consistent metrics across BI tools.
05
5
Governance
Catalog, lineage, access controls, and cost observability across the whole stack.
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6
Engineering Stack
Stack
Pragmatic, modern, and not a rewrite of your historian.
Lakehouse
Apache IcebergDelta LakeTrinoSpark
Streaming
KafkaFlinkMaterializeArroyo
Modeling
dbtCubeSQLMesh
BI & Notebooks
TableauPower BIHexStreamlitJupyter
Catalog
OpenMetadataDataHubUnity Catalog
Compute
SnowflakeDatabricksDuckDBTrino on Kubernetes
Measured Impact
Operational and Financial Outcomes
Numbers from production deployments at utilities and IPPs.
10TB/day
Sustained ingestion
On commodity object storage with predictable cost.
<2s
Median query latency
Across cross-team analytical workloads.
60%
Lower data team backlog
Through self-service modeling and BI.
30%
Cloud cost reduction
Versus naive lift to a vendor warehouse.
Investor-Owned Utility Lakehouse
An IOU running PI, multiple AMI head-ends, and a Snowflake warehouse needed one platform to serve operations, ESG, and trading. We delivered a federated lakehouse over nine months.
Self-service queries that once took weeks now run in minutes; the data team's backlog shrank 60%; and the customer cleared its first integrated assurance audit on the new platform.
Case Study
Renewable IPP Trading Data Mart
An IPP wanted a single trading-grade data mart spanning generation, market, and weather data. We built a lakehouse with sub-second access for trading and minute-level for back-office workflows.
Trading desk now backtests strategies in hours rather than days, and the back office has retired three legacy tools and one data-pipeline contractor.
Case Study
Use Cases
Workloads We Routinely Power
What teams actually do on top of our energy lakehouses.
02
Trading & Quant
Tick stores, position keeping, backtesting, and strategy development.
03
ESG & Carbon
Source-of-truth for emissions calculations and disclosure exports.
04
Customer Analytics
AMI-driven customer segmentation, program targeting, and rate design.
05
ML & Forecasting
Feature stores and training data for forecasting and anomaly detection.
06
Regulatory Reporting
FERC, NERC, and state-level reporting from one auditable source.
Integrations
Connected Across the Energy Stack
Pre-built integrations for OT, AMI, ERP, market, and BI tools.
Historian
OSIsoft PI
AMI
Itron OpenWayLandis+Gyr
ERP
SAP S/4HANAWorkday
Asset Mgmt
Maximo
Warehouse
SnowflakeDatabricks
BI
TableauPower BI
Compliance-First Development Services Backed by Global Standards
We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.
General Data Protection Regulation
Implement lawful consent flows, data minimization, and secure processing for global data privacy.
Service Organization Control 2
Verified controls for security, availability, and confidentiality of enterprise data systems.
Information Security Management
Adhering to the international gold standard for managing information security risks.
Quality Management Systems
Ensuring consistent quality in software delivery and operational process optimization.
Our Edge
Why Global Leaders Choose Us
We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.
Enterprise-Grade Security
We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.
High-Performance Scaling
Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.
Accelerated Time-to-Market
Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.
Embedded AI Integration
Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.
Engagement Model
Engagement Model
Predictable, structured delivery from kickoff through long-term ownership.
01
Discovery & Site Audit
We map your existing assets, SCADA systems, OT networks, and data residency constraints to scope a realistic 8–12 week MVP.
02
Architecture & PoC
We build a working slice on a representative substation, plant, or fleet — proving the data path end-to-end before committing to scale.
03
Production Engineering
Hardened ingestion, time-series storage, multi-tenant dashboards, and AI models go live behind your IAM and audit controls.
04
Operate & Improve
We stay on as the embedded engineering team — closing alerts, tuning models, and rolling out new dashboards as your asset base grows.
Voices of Success
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."
Aaron Phelan
Founder, Benchmark
"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."
Kim Smith
Founder, My Lauren
"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."
John Pasmore
Founder, Latimer
More in Energy
More Energy Solutions
Explore other production-grade engineering platforms we deliver across energy.
Cross-Industry Reach
The Same Engineering Patterns, Across Other Industries
The technical patterns behind this platform translate naturally into adjacent verticals.
Manufacturing
Apply the same telemetry and predictive analytics patterns to factory floors and process plants.
Transportation
Extend grid-edge data pipelines to fleet electrification, charging logistics, and route planning.
Gov & Research
Power national energy datasets, climate modeling, and regulatory disclosure platforms.
Frequently Asked Questions
No. We routinely sit alongside existing Snowflake, BigQuery, or on-prem warehouses, federating queries across them. Migration is an option — never a prerequisite.
Industries
A Unified Vision that Caters to Diverse Industry Demands
Build your next energy platform with us
We engineer production-grade energy platforms end-to-end. Talk to us about scoping a focused 8-week pilot.