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

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

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 Data Vault 2.0 + Kimball

Hybrid Data Vault 2.0 & Legacy SQL Refactoring 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 dbt and automate-dv-kimball.

Automated Hubs, Links, Satellites, PIT tables, and Kimball dimensional marts on Snowflake, Iceberg, or DuckDB
Full CI data contract testing and column-level regulatory lineage
Embedded Loop Engineering AI skills for your data engineers

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 & Licensing FinOps

EKS Karpenter, Graviton & Database Licensing Surgery

Validate a high-leverage cost reduction strategy on a staging or shadow copy of your production workload before touching customer traffic.

Karpenter NodePool consolidation & Spot diversification on Amazon EKS
Graviton4 / Inferentia2 benchmark or commercial Oracle/SQL core isolation model
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

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