RESONANT
COHERENT
AI consulting

Scope, build, and ship AI.
Fast, measurable, maintainable.

Disruption

AI levers of impact

Enormous disruption has become available, as a result of the astounding capabilities of Large Language Models and other Foundation Models.

These capabilities are also the elements of our AI designs:

Ingestion
of data, signals, docs, logs, etc.
Understanding
classify, structure, summarize, reason
Generation
synthesize, transform, innovate
Decision
prioritize, recommend, plan, optimize
Action
automate workflows, trigger systems
Memory
retain context, retrieve, adapt, learn over time
What we do

Main track

Our standard offer for AI product development.

  • Opportunity & Roadmap

    Goal: pick the highest-value use case and a lean plan.

    What you get

    • Prioritized use-case list with ROI and feasibility.
    • Data readiness and key constraints (infra, privacy, compliance).
    • Build plan: approach sketch, milestones, success metrics, timeline/budget range.

    We need: product owner time + sample data/context.

  • Prototype Sprint

    Goal: prove the use case with a working slice.

    What you get

    • Clickable prototype (repo + lightweight deploy).
    • Basic evals on a small test set (quality, latency, cost).
    • Gap analysis + plan to reach production.

    We need: developer access + small data sample.

  • Production

    Goal: ship the feature reliably.

    What you get

    • Service/API integrated with your stack (Azure-first if desired).
    • Retrieval/data pipeline if needed (ingestion, indexing, search).
    • Evaluation harness, guardrails, observability, cost controls.
    • Runbooks, handover docs, rollout plan.

    We need: infra access + internal owner for go-live.

What we do

Specialized modules

Additional modules available standalone.

  • Retrieval & Data Readiness

    Make private data useful and reliable for LLMs.

    • Ingestion & normalization pipeline
    • Chunking/metadata strategy; index/search tuning
    • Ground-truth set + retrieval/answer evals

    Use when: turn your content into an operational knowledge base.

  • Evaluation, Guardrails & Hardening

    Measure quality and keep systems within safe bounds.

    • Task-specific evals (accuracy, relevance, safety)
    • Failure taxonomy & red-teaming checks
    • Guardrails: schema-constrained outputs

    Use when: outputs are unreliable, drifting, or sensitive to risk/compliance.

  • Cost & Performance Optimization

    Reduce latency and spend without sacrificing quality.

    • Prompt/model tuning; structured outputs to cut tokens and streamline output
    • Caching and trace-reuse strategy
    • Performance dashboards and budget thresholds

    Use when: features work, but are slow or expensive.

What we do

Advisory

Ongoing guidance across strategy, design, and execution. Delivered as retainer hours, one-off calls, or async support.

  • Strategic input on use cases, vendors, and architecture
  • Second-opinion checks on scope, risks, and costs

Use when: you want an expert in the room adding clarity without overhead.

How we work

Disciplined delivery, minimal risk

Principles

  • Goal-led; metrics when useful
  • Prove an end-to-end slice, then expand
  • Smallest viable stack
  • Evaluate early and often
  • Cost-aware by design
  • Built for handover

Cadence

  • Weekly or as-needed check-ins
  • Concise async updates

Data & security

  • Your cloud, least-privilege access
  • No data leaves your environment unless agreed
  • NDA/DPA; secrets in managed vaults; auditable changes
Contact

Work with us

Book a call and/or Share project details

Email:
LinkedIn: gsarailidis