Archeon Proof Lab · Fixed-Scope PoC Sprints

One Hard Architectural Question. A Working Answer in 2 to 4 Weeks.

High-stakes cloud, streaming data, and Agentic AI decisions should never be made from vendor slide decks. An Archeon Proof Lab sprint builds the riskiest vertical slice first - inside your own AWS account, using production-grade Terraform, dbt, PyArrow, or Amazon Bedrock code - so your leadership team can make a go / no-go decision backed by audited telemetry and unit economics.

Scope Your 4-Week Proof Sprint → Pre-Packaged Sprint Blueprints How a Sprint Works

Ready-to-Deploy Sprint Tracks

Four High-Impact Proof Sprints Powered by The Archeon Cloud Engine.

Because we deploy our pre-built Open IP accelerators on day one, a 4-week Archeon sprint achieves what takes traditional consultancies an entire quarter.

Sprint Track 01 · 3-4 Weeks Streaming & Lakehouse

300k/s Zero-Copy Streaming vs. Legacy Spark / Batch

Benchmark our stateful C++/PyArrow zero-copy streaming engine against your slowest, most expensive Apache Spark or legacy ETL pipeline on a real slice of your production telemetry.

Deploy PyArrow/Polars micro-batch Parquet ingestion writing to S3 / Apache Iceberg
Side-by-side benchmark of throughput, memory ceiling (<80 MB target), and AWS compute cost
Written TCO comparison and production cutover plan

Target: 4x faster EL · 90% lower compute cost Scope Track 01 →

Sprint Track 02 · 3-4 Weeks Agentic Data Factory

AI-Assisted / Agentic Data Development Factory & Data Vault 2.0 Pilot

Take your most fragile stored procedures or un-auditable BI tables and refactor them into an automated Hybrid Data Vault 2.0 + Kimball star schema using our AI-Assisted / Agentic Data Development Factory.

Automated Hubs, Links, Satellites, PIT tables, and Kimball dimensional marts on Snowflake, Iceberg, Oracle, or DuckDB
AI Skills and MCP solutions for Data Engineering, Data Architecture, Governance development/audit, and DB Performance Tuning
Full CI data contract testing and column-level regulatory lineage

Target: 100% crash elimination · 30%+ faster BI Scope Track 02 →

Sprint Track 03 · 2-4 Weeks Bedrock RAG + tokener

Cost-Governed Amazon Bedrock RAG & FastMCP Agent

Build a production-grade RAG or Text-to-SQL FastMCP agent over your real enterprise documents and schemas, complete with deterministic evaluation gates and tokener cost controls.

Hybrid retrieval (pgvector / OpenSearch) + reranking + Bedrock Guardrails in your VPC
Golden-dataset accuracy harness measuring faithfulness and p95 latency
Live tokener gateway enforcing per-user and per-tenant USD token budgets

Target: Audited accuracy + hard USD/query cap Scope Track 03 →

Sprint Track 04 · 2-3 Weeks Cloud, Exadata & Licensing FinOps

EKS Karpenter, Oracle Exadata Tuning & Licensing Surgery

Validate a high-leverage cloud cost reduction or bare-metal database performance strategy before touching customer traffic.

Karpenter NodePool consolidation, Spot diversification & Graviton4 benchmarks on Amazon EKS
Oracle Exadata RAC deep tuning (DBRM, non-invasive DBMS_SQLDIAG SQL Patches, hash partitioning) & 85% core isolation
Board-ready CFO savings ledger with 100% of PoC fees credited toward rollout

Target: 22% to 50%+ verified run-rate reduction Scope Track 04 →

Who Runs a Sprint With Us

Built for Any Leader With a Decision Too Expensive to Guess.

Enterprises

De-risk a migration wave, a lakehouse modernization, or an Amazon Bedrock initiative before it goes to the steering committee. Structured to qualify for AWS Proof-of-Concept (MAP/PoC) co-funding where eligible.

Scale-Ups & PE Portfolios

Prove a Karpenter and Spot strategy on a copy of production, validate Packer Golden AMI compliance pipelines, or test Graviton/Trainium economics before committing your quarterly engineering roadmap.

Venture-Backed Startups

Show investors and enterprise design partners a working, SOC 2-ready system instead of a slide deck. Build the architectural capability that decides the round on a fixed budget and timeline.

Sprint Execution Cadence

Four Disciplined Moves. Fixed Price, Fixed Time, Production Code.

Frame & Hypothesis

We agree on the exact architectural hypothesis, quantitative pass/fail metrics, AWS budget ceiling, and what a "no-go" result looks like.

Days 1-2 · Signed Charter

Build in Your VPC

A principal engineer builds the thinnest production-shaped vertical slice that exercises the real risk: latency, throughput, accuracy, or unit cost. Terraform from commit #1.

Weeks 1-3 · Live PRs

Stress-Test & Meter

We run the implementation against your real data volumes and traffic patterns, recording hard telemetry and modeling 12-month production TCO.

Final Week · Benchmark

ADR & Handover

You receive a written Go / No-Go Architecture Decision Record (ADR), an async video walkthrough, the full repository, and a production rollout plan.

Final Day · 100% Owned

What You Own at Day 28

Working Terraform, Python, dbt, or C++ code in your Git repos
Measured benchmark telemetry against agreed pass/fail criteria
12-month production unit-cost model and target architecture
Written Go / No-Go ADR plus 10-minute async video RFC
Zero vendor lock-in; your engineers pair with us throughout

Commercial Terms

Fixed price agreed in writing before day one
Two to four weeks calendar duration; zero scope creep
AWS PoC / Activate co-funding applied wherever you qualify
100% credited toward the production rollout if you proceed

De-Risk Your Next Architecture Decision

Tell Us the Architectural Question You Need Proven.

We will tell you in a single 30-minute call whether it needs a 4-week sprint, a 2-hour review, or a different approach altogether.

Email master@archeoncloud.com Book a 30-Minute Scoping Call

New York · London · Dubai · Istanbul · master@archeoncloud.com