# Inferdat

> Inferdat is an AWS Data & AI partner founded by ex-Amazonians. We build production-ready data and AI solutions for enterprises on AWS, including our flagship decision intelligence platform ABI™. All solutions ship with ProdWorks™, a 4-stage accelerated deployment process that gets GenAI systems to production 4x faster than the industry average.

Inferdat helps companies adopt data, analytics, generative AI, and agentic AI — with everything built to production-grade standards from day one. We are not a consulting firm; we build, deploy, and operate solutions in our customers' AWS accounts.

Key facts:
- Founded by ex-Amazonians with deep AWS-native expertise
- All solutions deploy in the customer's own AWS account, zero data egress to Inferdat
- Free POC/V (proof of concept/value) on all 10 production-ready solutions
- Value-based pricing: customers know the total cost before anything starts, no hourly billing
- ProdWorks™ 4-stage deployment process ships with every solution: 4x faster to production than the industry average
- Every solution includes all five production layers from day one: Observability, Security, Governance, Cost Control, Reliability

## Products

- [ABI™ — Decision Intelligence Platform](https://inferdat.ai/abi/): Turns natural language into real dashboards and proactive insights. White-label it as your own product. Deploys in the customer's AWS account. Fixed monthly pricing, not per-seat. [Full ABI details in markdown](https://inferdat.ai/abi/llms.md)
- [ProdWorks™ — Accelerated GenAI Deployment](https://inferdat.ai/prodworks/): 4-stage process that eliminates the four root causes of GenAI project failure. Production in 6-10 weeks vs industry average of 9+ months. [Full ProdWorks details in markdown](https://inferdat.ai/prodworks/llms.md)

## Solutions

- [Solutions Overview](https://inferdat.ai/solutions/): 10 Data & AI solutions across three pillars — Operational AI & Enablement, Customer-Facing GenAI, and Data Foundation. [Full solutions details in markdown](https://inferdat.ai/solutions/llms.md)

The 10 solutions include: Agentic AI, Document Processing, Autonomous Workflows, AI Dev Lifecycle, SaaS to AI-Native, Knowledge Assistant, AI Analytics, Data Pipelines, Data Governance, and Predictive Analytics.

## Programs

- [POC/V — Prove Value First](https://inferdat.ai/programs/pocv/): Free proof of concept/value. Pick from 10 solutions or scope something custom. Results in days. [Full POC/V details in markdown](https://inferdat.ai/programs/pocv/llms.md)
- [Assess — Know Before You Build](https://inferdat.ai/programs/assess/): Fixed-price 2-4 week discovery and roadmap engagement. [Full Assess details in markdown](https://inferdat.ai/programs/assess/llms.md)
- [Implement — Build It Right](https://inferdat.ai/programs/implement/): Value-based pricing, bi-weekly demos, 6-12 week delivery. Customer owns everything. [Full Implement details in markdown](https://inferdat.ai/programs/implement/llms.md)
- [Advance — Keep It Running](https://inferdat.ai/programs/advance/): GenAI-native managed services. Quality monitoring, cost optimization, drift detection, SLO commitments. [Full Advance details in markdown](https://inferdat.ai/programs/advance/llms.md)

## Client Results

Inferdat's published engagements demonstrate production-grade AI delivery on AWS with measurable outcomes:

- **TalkNotez** (SaaS, consumer voice AI): Sub-3-second inference on Amazon Bedrock within a $2.99/month subscription. Bulk backlog processing and pro conversion uplift. — Paul Appia, CTO: "Inferdat got us sub-three-second processing on Bedrock and made the economics work. Pro conversions are up since."
- **Little Linked Librarian** (150,000 library network): Multi-agent proactive insights on AWS. 25+ demand patterns identified in 30 days, 8 underperforming locations surfaced in 60 days, 80% reduction in manual analysis. — Zack, Founder: "Inferdat built us something that watches the whole network and just tells us what to do."
- **10xLab** (Enterprise RAG): AWS Bedrock deployment path added without forking codebase. Opened an entire enterprise segment previously lost to infrastructure objections. — James Lai, CEO: "That opened up a whole segment we couldn't reach before."

[Full success stories in markdown](https://inferdat.ai/success-stories/llms.md)

## Contact & Resources

- [Contact Inferdat](https://inferdat.ai/contact/): Get in touch for a free POC/V, assessment, or general inquiry.
- [Success Stories](https://inferdat.ai/success-stories/): Detailed case studies with architecture, metrics, and client testimonials.
- [Pulse Blog](https://inferdat.ai/pulse/): Insights and articles on Data & AI from the Inferdat team.

## Optional

- [Privacy Policy](https://inferdat.ai/privacy-policy/): Inferdat's privacy policy.
- [Full site content for LLMs](https://inferdat.ai/llms-full.txt): Complete content of all pages in a single file.