Ecosystem & platforms

Technology agnostic. Outcome obsessed.

We integrate natively with the enterprise stack you already run, extract value from the tools you have, and bring in the modern data and AI platforms only where they change an outcome.

Platform families

Six families, one integrated stack

Each family is backed by a practice that advises on it, implements it, and runs it.

Enterprise applications

SAP S/4HANA & RISESAP BTPOracle FusionOracle EBS, PeopleSoft, JDESalesforceServiceNowWorkday

Dedicated SAP and Oracle practices with Level 1 Oracle partner status.

Cloud platforms

AWSMicrosoft AzureGoogle CloudOracle Cloud InfrastructureKubernetesTerraform & Chef

Migration factory, DevSecOps, and FinOps across all four hyperscalers.

Data platforms

DatabricksSnowflakeKafkadbtQdrantDatasphere

Lakehouse, streaming, and vector stores with lineage and governance built in.

AI frameworks and models

TensorFlow & PyTorchOpenAICohereMeta LLaMANVIDIA NeMovLLM · Mistral · Phi

Private, on-premise inference where data cannot leave.

Analytics and BI

LookerPower BISAP Analytics CloudTableauAnaplan

Governed semantic layers under every dashboard.

Security tooling

IronCloud AISIEM · XDR · SOARVirusTotal · MISP · AlienVault OTXServiceNow & Jira

Our own autonomous SOC platform plus the feeds and tools it integrates.

How it fits together

From your estate to the outcome

Platforms are the middle of the route, never the destination.

  1. Business problem

    Your current estate

    ERP, apps, data, and legacy systems

  2. VentureSoft thinking

    Assessment and platform choice

    Vendor-neutral, workload-led

  3. Technology

    Integration and data layer

    APIs, OIC, Kafka, lakehouse

  4. Technology

    Target platforms

    Cloud, applications, AI

  5. Technology

    Managed operations

    NOC, SOC, AMS, FinOps

  6. Measured outcome

    Measured business outcome

    Cost, speed, risk, revenue

Our platform principles

How we choose, and how we build

Vendor-neutral by default

We assess your workloads first and recommend the platform second. Partner status never decides the answer.

Clean core, extend outside

Keep the platform standard and put customization in extension layers, so upgrades stay cheap.

Data stays where it must

On-premise and private-cloud options for AI inference and annotation when regulation demands it.

Built to be run

Every platform we implement can be operated by our managed services, with the same team that built it.

Ecosystem

Partners we build on

SAPSAP
OOracle
SFSalesforce
MSMicrosoft
SNServiceNow
WWorkday
SAPSAP
OOracle
SFSalesforce
MSMicrosoft
SNServiceNow
WWorkday
awsAWS
AzAzure
GGoogle Cloud
OCIOracle Cloud
DBDatabricks
❄Snowflake
NVNVIDIA
QQdrant
awsAWS
AzAzure
GGoogle Cloud
OCIOracle Cloud
DBDatabricks
❄Snowflake
NVNVIDIA
QQdrant
Enterprise platformsCloud, data & AI

Not sure which platform fits?

A short assessment maps your workloads, licences, and constraints to the platform mix that will pay back fastest.