Services
We design, build, and run the platforms your business thinks with. Every practice below is delivered by senior consultants who have shipped it before, not a bench learning on your budget.
Every company is being told to "do AI." Few are told which use cases will actually pay back. We map your data estate against your P&L, score the opportunities, and hand you a roadmap with costs, risks, and owners attached, one your board can fund with confidence.
Assistants, copilots, and document intelligence built on your own knowledge. We engineer the retrieval, evaluation, and guardrails that separate a production system from a demo, so answers stay grounded, cited, and safe.
Most models die in the notebook. Ours ship. Forecasting, scoring, and anomaly detection deployed on MLOps pipelines with monitoring, drift detection, and retraining, so the model still works in month twelve, not just week one.
Aging warehouses are slow to query and expensive to keep. We move analytics onto elastic lakehouse platforms on AWS, Azure, or GCP, with migration sequencing that keeps the business reporting through the entire transition.
Your analysts should spend their week on insight, not infrastructure. We stand up high-performance compute, notebooks at scale, and experiment tracking so the path from question to answer gets measured in hours.
Everything upstream of a good decision is a pipeline. We build streaming and batch pipelines that land clean, governed data where your teams and models need it, with quality checks at every hop and lineage you can trace.
Extended capabilities
Mindspace Networks leads every engagement end to end. Through our strategic collaboration with Orviniel Solutions, our AI build and delivery partner, clients also draw on a dedicated product engineering bench for platforms, automation, and agentic AI, with Mindspace accountable for the outcome throughout.
Strategy before software. Complexity mapping, process redesign, technology strategy, and operating model design for enterprise leaders who need more than a roadmap.
Cloud strategy, migration, architecture, and ongoing managed operations across AWS, Azure, GCP, and hybrid estates, run with the discipline regulated work demands.
Zoho, Monday.com CRM, and incident.io implemented as connected operating systems: clean migrations, role-based access, and adoption support that makes rollouts stick.
Production-grade automation on n8n, Zapier, and Make, plus Slack and Teams workflows, with monitoring, error handling, and ownership conventions built in from the start.
Multi-agent systems, domain copilots, MCP tool layers, and retrieval pipelines, engineered with guardrails, evaluation harnesses, and audit trails so autonomy is earned.
APIs, event pipelines, and middleware across ERP, CRM, and internal systems, with observability and BI reporting layers that keep the whole estate legible.
Describe the problem. We'll tell you honestly what it takes, and what it doesn't.
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