Claude Partner NetworkFrom Idea to Intelligent Execution
End-to-end AI engineering for enterprises and private equity.
From strategy to production: end-to-end AI engineering for enterprises and private equity, built to be governed, explainable, and ready to scale
Member of the Claude Partner Network
Certified to design and ship production Claude systems, with direct backing from Anthropic.
Trusted by
Leading companies worldwide
What we do
What We Build
How We Connect It
Where We Apply It
Agentic AI Systems
We design and deploy multi-agent architectures that decompose complex tasks, invoke tools and APIs, and operate with built-in human oversight at every decision point.
Best for
Deliverables
- Agent workflow architecture and orchestration design
- Tool and API integration layer
- Monitoring, fallback, and escalation logic
What We Build
We design and deploy multi-agent architectures that decompose complex tasks, invoke tools and APIs, and operate with built-in human oversight at every decision point.
Best for
Deliverables
- Agent workflow architecture and orchestration design
- Tool and API integration layer
- Monitoring, fallback, and escalation logic
How We Connect It
Where We Apply It
AI engineering across the deal lifecycle
From diligence to exit, we work as an embedded AI partner for funds and their portfolio companies, vetting claims before the deal and shipping systems after it.
AI Due Diligence
Validate a target's AI claims against impact, feasibility, technical constraints, and data scalability before the deal closes.
- Claims vetted against data and scale constraints
- Risk-weighted use-case assessment matrix
- Build-vs-buy and barrier-to-entry analysis
Value Creation
Post-acquisition, diligence findings become shipped systems: prioritized use cases, POCs, and production builds tied to the P&L.
- AI roadmap prioritized by impact vs feasibility
- POC-to-production execution
- KPIs in man-hours and cost-to-serve
Portfolio Enablement
Roll AI capability across the portfolio with competency building, governance frameworks, and structured change management.
- Leadership and developer programs
- Governance aligned with NIST AI RMF
- AI champions in every function
Embedded Engineering
End-to-end engineering inside portfolio companies. We design, build, and operate agentic, voice, and document AI systems.
- Agentic systems, voice AI, and document intelligence
- Monitoring, fallback, and escalation built in
- Round-the-clock developer coverage
Deal-tested with growth equity firms and their portfolio companies.
Agentic AI Coding Enablement
A hands-on masterclass that takes your engineering team from zero to production-ready with Claude Code and agentic workflows. Install tools, connect integrations, ship real deliverables, and build a repeatable adoption roadmap.
Day 1: Foundations
Installation to production workflows
Day 2: Scale
Parallel execution and enterprise adoption
Ongoing Support
Monthly office hours and newsletter
$ claude-code init
Setting up AIDLC framework...
Connecting MCP servers...
GitHub connected
Jira connected
$ claude-code run
Ticket → Code → Test → PR
✓ Deployed in 2m 14s
Previous Work
Engagements where research-grade models shipped as production systems solving real operational problems.
LLM-Powered Course Search
A global e-learning platform's keyword search couldn't read learner intent, and 42% of searches were abandoned. We rebuilt discovery around LLM query understanding, vector search, and a course knowledge graph serving 3M+ learners across 50,000+ courses.
- Search relevance up from 23% to 78%
- Search abandonment cut from 42% to 9%
- Live in 12+ languages with sub-200ms responses
Reflective Prompt Optimization
Manual prompt tuning is slow, subjective, and doesn't survive model changes. Our Genetic Pareto (GEPA) system evolves prompts against labeled examples: multi-judge evaluation scores every candidate, and feedback-driven reflective mutation rewrites it. Currently customized for a healthcare services provider, and adaptable to any domain.
- Feedback-driven mutation, not random search
- Multi-judge scoring across model families
- Full lineage and evaluation traces for every prompt
Provenance-First Document AI
Extraction from complex Excel workbooks, PDFs, and decks: K-1 tax forms, credit agreements spanning multiple fund facilities and amendments, and dense reporting packs. Every extracted value carries provenance, so curators and stakeholders verify the audit trail instead of trusting the model.
- Highlights the exact source region in PDFs and scans
- Cell-level lineage and calculations in Excel
- Custom models and algorithms, proven across clients and document types
Rare-Language Machine Translation
End-to-end translation of course content into extremely low-resource languages, with evaluation built in. Foundation-model pipelines translate, and COMET, MetricX, GEMBA V2, and tagged-span annotation score every output, giving curators insight instead of blind trust.
- Oromo, Hausa, Hmong, Karen, Kinyarwanda, Kirundi, Marshallese, Tigrinya
- Translation quality scored, annotated, and surfaced to curators
- WMT25 research productionized for enterprise use
What clients say
Proof that strategy and execution can move fast without cutting corners.
Aaron Bridges
CTO and Co-Founder, OpenSesame
Outcomes across teams and industries
- Developed multiple Gen AI use cases focused on internal efficiency and productivity gains
- First Gen AI tool saved over 350 hours of curation work within the first month
- Delivered a clear AI roadmap aligned with market demand and long-term innovation strategy
- Supported enhanced product innovation initiatives
- Strengthened funding readiness through AI-driven strategic insights
- Enabled Gen AI integration into product development workflows
- Contributed to building a more innovation-driven organization
- Delivered cost-efficient acquisition insights
- Provided leadership clarity and strategic negotiation advantages
- Unlocked transformational value through AI analysis
- Delivered actionable insights to support investment decisions
Building AI Solutions
Globally
We ship code and systems that scale to the world, trusted by enterprises, private equity firms, and their portfolio companies.
Common Questions
Everything you need to know about our process and technology.
Security is our foundation. We deploy enterprise-grade encryption, role-based access controls, and private cloud environments (VPC) so your data stays under your control. We design our engagements around GDPR requirements and follow industry-standard security practices.
Absolutely. Our architecture focuses on interoperability. We build custom API layers and middleware that allow modern AI models to communicate seamlessly with legacy ERPs, CRMs, and database systems without disrupting operations.
Timelines vary by complexity, but we prioritize speed to value. A typical pilot launches in 4-6 weeks, with full production deployment following in 3-4 months. We use an agile methodology to deliver iterative improvements.
Yes. AI models require maintenance to prevent drift and ensure accuracy. We offer managed service packages that include continuous monitoring, retraining pipelines, and performance optimization to keep your systems at peak efficiency.
We implement rigorous testing frameworks before deployment. Our 'Risk & Governance' module includes bias detection audits, explainability layers (XAI), and human-in-the-loop protocols to ensure ethical and predictable outcomes.
Ready to realize
your vision?
We help founders build AI-native products. Schedule a call to discuss your roadmap.
Contact us at hello@realaization.com