Enterprise AI, Built on Enterprise Data

ReKnew is a data and AI transformation company founded by practitioners who built and ran data, analytics, and AI programs at some of the world's largest financial institutions.

gapgapgapCloudPlatform and infrastructureDataQuality, lineage, accessAIModels, agents, useTalentSkills and capacityWorkProcesses and workflowsBusinessValue and outcomesOrganizationStructure and ownershipRemediation, optimization or upgrade planIllustrative
gapgapgapCloudPlatform and infrastructureDataQuality, lineage, accessAIModels, agents, useTalentSkills and capacityWorkProcesses and workflowsBusinessValue and outcomesOrganizationStructure and ownershipRemediation, optimization or upgrade planIllustrative
Strategic partners

How we build enterprise AI.

Five layers, each one built on the last: data platform, governance, context, agents, and outcomes.

ReKnew architecture: cloud data platform, governance and lineage, context graph, agents in production, business outcomesCloud data platformGovernance and lineageContext graphAgents in productionBusiness outcomes
  1. Data platform
  2. Governance
  3. Context
  4. Agents
  5. Outcomes
Trusted data inside a governed perimeter on the data platformData platformTrusted dataGoverned perimeter
Regulated by default

Built for environments where failure is not an option.

Lineage and quality controls

Every dataset traceable, every pipeline monitored.

Compliance frameworks

Designed to meet regulatory standards, not retrofitted.

Model governance

Observability and guardrails to run AI responsibly at scale.

Governed scoping

Every engagement starts within your regulatory boundaries.

Senior practitioners, paired with tools that speed up delivery.

We embed alongside your team with pre-built tech-to-tech and tech-to-business use cases, so expertise transfers as the work gets done.

Practitioners with real context

Careers spent inside the data and AI functions of large enterprises. We know the constraints, politics, and priorities that shape what gets built.

Pre-built accelerators

Proven use cases and frameworks shorten the time from engagement start to outcomes that matter.

Momentum that compounds

We build internal capability as we work, so your organization keeps moving after the engagement wraps.

AI fluency, built in

Every engagement includes upskilling. We leave your team more capable with AI than when we arrived.