NeuralShore is DLytica's Databricks delivery company, headquartered in London, Ontario. We serve Canada first, then the USA and the Middle East. From our offshore hub, we give Databricks partners and enterprises trained, stable pods that work inside their teams, at about half the cost of onshore hiring.
Handed over to Toronto at 09:00 ET. Delta tables, Unity Catalog, on time.
NeuralShore is a Canadian Databricks delivery company, part of DLytica Inc. in London, Ontario. It provides Databricks specialists, dedicated delivery pods, migrations and managed services to Databricks partners and enterprises in Canada, the USA and the Middle East, with contracts and governance in Canada and delivery from an offshore hub.
Win more Databricks work and staff it the same week. Our pods work under your brand, in your tools, on your clients' projects.
From first ingestion to governed gold tables and AI use cases, with a team that stays with you after go-live.
Our engineers learn on Databricks before they meet a client, and work across the full platform.
delta lakeMedallion design, Delta tables and performance tuning.
lakeflow · workflowsBatch and streaming ingestion, declarative pipelines and orchestration.
unity catalogAccess control, lineage and audit for regulated data.
databricks sql · ai/biSQL warehouses, dashboards and Genie spaces for business users.
mlflowFeature engineering, model training, tracking and serving.
agent bricksVector search, RAG and agent workflows on your governed data.
lakebridgeFrom Hadoop, cloud warehouses, IBM and legacy ETL, with validated parity.
run · supportPlatform and pipeline operations under agreed SLAs.
We migrate data, code, pipelines and users to the Databricks Data Intelligence Platform, then prove every number matches before the old system is switched off. Our leadership has spent years inside IBM, Hadoop and cloud data estates, so we know both sides of the move.
Cloudera, Hortonworks, MapR
Value after the moveRedshift, EMR, Glue, Athena
Value after the moveBigQuery, Dataproc, Dataflow
Value after the moveNetezza, Db2 Warehouse, DataStage, Cognos data sources
Value after the moveTeradata, Oracle, SQL Server
Value after the moveInformatica, SSIS, Talend
Value after the moveGenie answers questions in plain language from your governed lakehouse. We make sure the answers are right, safe and trusted.
Curated spaces with clean tables, trusted SQL and clear instructions for each team.
Assistant access for business users, including in Microsoft Teams, with permissions from Unity Catalog.
AI-assisted pipeline and ML development for your engineers, with review and testing built in.
Unity Catalog Metrics and business definitions so Genie, dashboards and agents agree.
Proven patterns we build for regulated and data-heavy industries.
Customer data sits in core banking, cards, loans and CRM, so no one sees the full relationship.
Lakeflow Connect · Delta Lake · Unity Catalog · GenieOne governed customer view that relationship managers can query in plain language.
Adjusters review every claim the same way, whatever its risk.
Agent Bricks · Vector Search · MLflowClaims routed by risk and complexity, with suspicious ones flagged for review.
Event volumes outgrow the transactional database and reporting slows.
ZeroBus Ingest · Delta Lake · Lakehouse real-time warehouseLow-latency analytics on every payment event.
Retention offers go out after customers have already decided to leave.
Feature engineering · MLflow · Model ServingChurn scores that trigger timely, targeted retention offers.
Clinical, lab and administrative data live in separate systems.
Lakeflow Connect · Delta Lake · Unity CatalogA governed patient data foundation with strict access control.
Sensor and quality data are analysed long after production runs.
Streaming pipelines · Delta Lake · MLflowFaster detection of defects and process drift.
Real work by our data and AI team. Client names and detailed results are shared on request.
Data and AI delivery running in production.
Read the case study: Data and AI in production at a leading Canadian bank →From user testing to paid production, with reusable banking use cases.
Read the case study: From user testing to paid production at a commercial bank →Selected as the group's AI transformation partner.
Read the case study: AI transformation partner for a diversified business group →Data and AI solutions funded by the operators.
Read the case study: Operator-funded data and AI for Middle East telecom groups →Mix the models as you need. One partner, one monthly invoice, one monthly review.
Named engineers who join your existing teams.
A stable team of about seven with its own tech lead.
We run your Databricks platforms and pipelines.
We build and run a hub for you, with the option to own it.
DLytica has focused on data and AI since day one. The name stands for Data analytics and AI.
Led by former IBM data and AI architecture leaders with 15+ years inside large enterprises.
Lakehouse and AI delivery for leading banks, including a leading Canadian bank in production.
Headquartered in London, Ontario. Contracts, governance and invoicing sit with DLytica in Canada.
Hiring, payroll, local labour law, HR, training and compliance are ours to handle.
Our offshore teams stay, learn fast and take real ownership of client outcomes.
What Canadian banks, insurers and enterprises need to plan for when they build on Databricks: Canadian regions, OSFI guidelines, PIPEDA and Québec Law 25.
Read the article: Databricks in Canada: data residency, OSFI and Québec Law 25 →Genie One is now generally available for business users, and Genie Code brings an AI coding agent to data engineering and ML.
Read the article: Genie One and Genie Code: what they mean for data teams →Lakebase brings managed Postgres into the lakehouse, and LTAP aims to serve transactional and analytical work from a single copy of data.
Read the article: Lakebase and LTAP: one copy of data for apps and analytics →Yes. NeuralShore is DLytica's Databricks delivery company. We design, build and run Databricks platforms for enterprises, and we provide delivery pods for Databricks partners.
We serve clients in the USA, Canada and the Middle East, from our offshore delivery hub with leadership and contracts in Canada.
Timing depends on the roles and skills you need. Because our engineers come from a ready, Databricks-trained pool, pods usually form much faster than a normal hiring cycle. We agree a start date in the scoping call.
Dedicated pods have a fixed monthly fee. Staff augmentation uses an hourly rate card, and managed services are priced by scope and SLA.
Yes. Our Build-Operate-Transfer model lets you take over the hub, co-own it, or keep us operating it.
We work inside your cloud and Databricks workspaces with least-privilege access, and apply security controls aligned to ISO 27001.
Yes. We migrate from Cloudera and Hortonworks Hadoop, AWS Redshift, EMR and Glue, Google BigQuery and Dataproc, IBM Netezza, Db2 and DataStage, and warehouses such as Teradata, Oracle and SQL Server.
Genie is Databricks’ natural language interface. Business users ask questions in plain language and Genie answers from governed lakehouse data, using the permissions and metric definitions in Unity Catalog.
