ACC.01
LIVE
Autonomous Platform Analysis
Continuous discovery of state, drift and AI-readiness gaps.
snowflake · databricks→
Snowflake · Databricks · AI Ops
Data Platforms
for the Agentic Era.
AI-native delivery on Snowflake and Databricks. Governed context, operational intelligence, forward deployed engineering.
01
TRUST
02
CONTROL
03
VELOCITY
04
AI READINESS
Partner Ecosystem
Engineered on the platforms enterprises trust.
SNOWFLAKE
DATABRICKS
AWS
AZURE
GOOGLE CLOUD
DBT
03The Shift
The enterprise AI era redefines the data platform.
/fabric.alive
Agents demand more than analytical pipelines.
Governed context, operational memory and remediation surfaces, engineered for enterprise scale.
01
ctx.governed
GOVERNED CONTEXT
Trusted context, lineage and ownership.
02
mem.operational
OPERATIONAL MEMORY
Persistent state for agentic decisioning.
03
ops.remediation
REMEDIATION SYSTEMS
Human-in-the-loop across AI workflows.
04
gov.enterprise
ENTERPRISE GOVERNANCE
Policy, identity and audit at platform layer.
04Differentiation
An operating system for governed AI delivery.
/01
Evidence-First Delivery
Decisions grounded in lineage and telemetry, not assumptions.
/02
AI-Native Accelerators
Productized capabilities for governed AI on Snowflake and Databricks.
370
294
415
1B8
302
/03
Forward Deployed Engineering
Senior engineers embedded in operational context. Outcomes, not deliverables.
/04
Human-in-the-Loop AI Ops
Remediation and approvals that keep agents within policy.
05Accelerators
Productized capabilities for governed AI.
STATUS · OPERATIONAL
BUILD · 2026.05
ACC.02
LIVE
Metadata-Driven Source-to-Lake
Ingestion governed by metadata, lineage and contracts.
snowflake · databricks→
ACC.03
LIVE
Knowledge Layer
Governed enterprise context, accessible to agents.
snowflake · databricks→
▸ probe.lineageOK
▸ verify.governanceOK
▸ scan.driftDETECTED
▸ propose.remediationQUEUED
▸ await.human_reviewPENDING
ACC.04
LIVE
Agentic Diagnostic
Autonomous diagnostic loops with human-in-the-loop.
snowflake · databricks→
06Snowflake · Databricks Expertise
An enterprise architecture engineered for trusted AI.
/ ARCHITECTURE
Agentic & AI Operations
L4
Agent runtime governanceTool-call policy enforcementOperational memory stores
Enterprise Context Layer
L3
Semantic modelKnowledge graphGoverned feature catalog
Lakehouse & Warehouse
L2
Unity Catalog & HorizonDelta · Iceberg · native tablesStreaming + batch unification
Source-to-Lake Foundation
L1
Metadata-driven ingestionLineage by constructionContract-first sources
/ OPERATIONAL MAP
Trusted enterprise context, end to end.
From governed ingestion to agentic execution, every layer is engineered for lineage, policy, and operational intelligence.
sources → context → consumerslineage.live
07Operating Model
Forward Deployed Engineering.
Senior engineers embedded in the client's operational reality. We don't ship decks: we engineer governed platforms in production.
/in-production
Engineering inside the client's operational system, not next to it.
→
/phase.01
ASSESS
Forensic platform analysis. Lineage, governance, AI-readiness, operational debt.
→
/phase.02
PROVE
Evidence-based proof on a contained, high-value operational slice.
→
/phase.03
EMBED
Forward deployed engineers operating inside your business context.
/phase.04
EXPAND
Scale governed AI operations across the enterprise platform surface.
08AI-Ready Future
The context layer becomes the enterprise's operational memory.
01 / 04
Governed Data Apps
Apps in production, on trusted context.
02 / 04
Operational AI
Agents acting on governed state.
03 / 04
Enterprise Context Layer
A single semantic substrate, for any consumer.
04 / 04
Operational Memory
Persistent, auditable memory over time.
09Team
Senior engineers embedded in the client's operational context.
Small, dense teams with no intermediate layers. Whoever designs is who delivers.
/no-decks
Whoever designs is who delivers, inside the client's operational context.
/forward-deployed
Senior engineering, embedded on the ground.
15+
Average years of experience
Senior engineering on large-scale data platforms.
200+
Production implementations
Lakehouse, warehousing and AI ops in regulated environments.
40+
Enterprise clients
Banking, insurance, retail, energy, telecom and industry.
2
Operational hubs
Porto and London, with forward deployed delivery.
/01
Platform Engineering
Snowflake, Databricks, Unity Catalog, Horizon, Iceberg, Delta.
/02
Data & AI Architecture
Lakehouse, semantic layer, knowledge graphs, agent runtimes.
/03
Governance & Trust
Lineage, policy, identity, observability and audit.
/04
Operational Intelligence
Operational memory, remediation loops, human-in-the-loop.
10Partnerships
Official Snowflake and Databricks partners, with certified technical depth.
PARTNER STATUS · ACTIVE
REGION · EMEA
Direct relationship with the engineering teams of both platforms: early access, roadmap alignment, technical validation on critical architectures.
PARTNER · DATA CLOUD
Snowflake
CERTIFIED
Architecture
L4
Engineering
L4
Operations
L3
Governance
L4
AI / ML
L4
Security
L3
PARTNER · LAKEHOUSE
Databricks
CERTIFIED
Architecture
L4
Engineering
L4
Operations
L3
Governance
L4
AI / ML
L4
Security
L3
20+
Active certifications
120+
Production projects
30+
Certified engineers
8
Regulated sectors
Platform Assessment · 6 weeks
Build AI-ready
enterprise operations.
Governed platforms for the agentic era, on Snowflake and Databricks.