AI Proof of Concept (PoC)

Replace hype with evidence. We validate value, feasibility, and adoption risks so capital allocation is confident and defensible

Scope a PoC in 60 Minutes
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iconTechnology Stack
  • AWS
  • Azure
  • GCP
  • MLflow
  • Weights & Biases
  • dbt
  • Kafka / Flink
  • MLflow
  • NeMo Guardrails
  • Guardrails.ai
  • Pinecone
  • FAISS
  • Weaviate
  • LangChain
  • LlamaIndex
  • GitHub Actions
  • Argo
  • Docker
  • Kubernetes

A Disciplined Approach to De-Risking Innovation

Hypothesis & Scope Definition

Tooling rail: decision trees • KPI rubric • risk register

Edge: Stop/Scale criteria fixed before code—no “science projects.”

Value Impact Assessment

Tooling rail: driver trees • sensitivity • TCO envelope

Edge: ReinΩlytix™ attaches cash impacts to KPI movement.

Technical Feasibility & Data Readiness

Tooling rail: data audits • lineage • PII masking • access tiers

Edge: 𝝓-Federis enables sovereign/on-prem + cloud split.

Rapid Prototyping with Guardrails

Tooling rail: LangChain/LlamaIndex • Pinecone/FAISS • RAG patterns

Edge: Σ-Graphion™ boosts retrieval precision on regulated text.

Rigorous Testing & Validation

Tooling rail: red-team harness • bias/robustness tests • drift watch

Edge: EthicΞense™ outputs a Responsible-AI attestation pack.

Go/No-Go Business Case

Tooling rail: cost envelope • rollout plan • runbook

Edge: Auto-generated board-grade deck from PoC logs and metrics.

Our Clients

Clients that trusted Us

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Beyond a Technical Demo

Business-Led, Not Tool-Led Decision Rights

KPIs set pre-build.

Speed to Insight Agile Sprints

Validated signal in 4–8 weeks

Pathway to Production Runbooks

Handover with SLOs & rollback.

Mitigate Risk. Validate Return.

Evidence, not opinions. Governance, not guesswork

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  • Structured De-risking & Decision Frameworks
  • KPIs Beyond Accuracy (Adoption, Risk, Cost)
  • Accelerated Time-to-Value
  • Independent, Vendor-Neutral Assessment
  • Seamless Handoff to Build/Run Teams

Assurance Strip

Foundational safeguards ensuring compliance, accountability, and operational integrity.

Bias Tests Evaluating datasets and model outputs to detect and remediate algorithmic bias and fairness issues
Red-Team Logs Documenting adversarial testing and stress scenarios to strengthen system resilience and reliability
Cost Caps Defining and enforcing financial guardrails for model training, inference, and compute usage
IP Ownership Clarifying intellectual property rights across datasets, models, and generated assets to protect enterprise value

Boardroom Kit

Executive tools to govern, track, and fund AI initiatives responsibly.

PoC Hypothesis Rubric Structured framework to define, validate, and measure the success criteria of AI proof-of-concepts
Go/No-Go Template Decision framework capturing readiness, risks, and ROI to determine if an AI initiative should proceed
Risk Register (Sample) Predefined register for tracking technical, ethical, and operational risks across AI programs
Cost Envelope Calculator Estimation tool to define budget limits and forecast operating costs for AI build and run phases

Enterprise Readiness & IT Integration

4–8 weeks, subject to data access and integration scope.

You own enterprise outputs; third-party licenses remain under their terms.

Target KPI attainment and acceptable risk/operational cost profile.

Get Started – AI Efficiency with
Proven Performance

Accelerate AI workloads with rigorously tested Quantum-Inspired Neuromorphic AI.

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United States

Strategemist Corporation
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United Kingdom

Strategemist Limited
71-75 Shelton Street,Covent Garden, London, WC2H 9JQ

India

Strategemist Global Private Limited
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KSA

Strategemist - EIITC
Building No. 44, Ibn Katheer St, King Abdul Aziz, Unit A11, Riyadh 13334, Saudi Arabia