AI Development · for Enterprise AI

AI Development for
Enterprise AI.

Enterprise AI is sold on evals, latency, and security posture — not demos. The companies that win publish numbers. Vedwix builds ai development for Enterprise AI companies — with the compliance posture, KPI awareness, and operational shape your category demands.

Brief us on AI work
ServiceAI Development
IndustryEnterprise AI
Typical scope6–14 weeks
EngagementFixed-fee
Industry context · 01

What we know about Enterprise AI.

Compliance
  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • GDPR / data residency
KPIs you actually move
  • Eval scores
  • Latency p95
  • Cost per resolved task
Common pains
  • Procurement gates
  • Data residency requirements
  • Pilot purgatory
AI Development for enterprise-AI · 02

Three use cases we ship.

Use case 01

Internal AI copilots

We build AI features that ship to real users — not demos. For enterprise-AI, that means designing for SOC 2 Type II, measuring against Eval scores, and avoiding the procurement gates that plague the category.

Use case 02

Document agents on enterprise data

We build AI features that ship to real users — not demos. For enterprise-AI, that means designing for SOC 2 Type II, measuring against Eval scores, and avoiding the procurement gates that plague the category.

Use case 03

Compliance-grade RAG

We build AI features that ship to real users — not demos. For enterprise-AI, that means designing for SOC 2 Type II, measuring against Eval scores, and avoiding the procurement gates that plague the category.

Enterprise AI team? Brief us.

AI Development,
enterprise-AI-aware.

We don't pretend every project is the same. Enterprise AI has its own compliance, KPIs, and unwritten rules. We bring those in from day one.

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Deliverables · 03

What you get.

  • RAG system with hybrid search
  • Eval harness + observability
  • Agent orchestration
  • Fine-tuning + serving
  • Internal AI tooling

We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.

Examples of Enterprise AI companies in this space: Glean, Writer, Cohere.

Need ai development
for your enterprise-AI company?

Tell us about it in three sentences or fewer. We'll reply within two business days.

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