AI WITHOUT THE VIBES.

GRDS // AI

We turn AI ambition into measurable, secure, cost-controlled implementation.

// 00 · What We Do

Boutique AI implementation for teams that value outcomes over hype.

Focus

End-to-end AI implementation — from feasibility assessment through production deployment and ongoing measurement.

Philosophy

Ship fast, measure everything, keep costs predictable. No black boxes, no magic — just disciplined engineering with AI.

Scale

Selectively small. We partner with nimble teams where AI can be transformational, not incremental.

// 01 · Approach

How we work: four phases, zero waste.

Learn

We embed with your team to understand the problem, the data, the constraints, and the definition of success. Output: a one-page spec with measurable targets.
Design

Architecture, model selection, cost modeling, and security review. We deliver a technical blueprint that maps directly to your infrastructure and operational constraints.
Implement

Build, test, harden. We ship in tight cycles with clear checkpoints. Code is handoff-ready — your team owns it from day one, with thorough documentation and no proprietary lock-in.
Measure

If you can't measure it, you didn't build it. We instrument every output for accuracy, latency, cost, and business impact. Dashboards, alerts, and feedback loops built-in.

// 02 · Differentiators

What sets us apart in a crowded AI market.

Data Security

Deep security, human-centered. We know what it takes to harden production systems without paralyzing the teams that ship them. Every architecture defaults to zero-trust, encrypted-at-rest, and minimal-data collection. Beyond the controls: we design for usability, because security that creates friction creates workarounds.

Cost Discipline

Spend discipline is built into how we work. We track token consumption alongside latency and accuracy from the first prompt. Every dollar of inference spend should be accountable. When you measure carefully, waste stops being a surprise and becomes a solved problem.

Effective Outcomes

Outcomes are measured, not assumed. We define success with you before we start, using the metrics your team already cares about. Every engagement ends by answering one question: did this make things better?

// 03 · Services

Capabilities.

AI Readiness Assessment Feasibility analysis, data audit, cost projection, and risk assessment.
Custom AI Pipeline Development End-to-end pipelines: ingestion, preprocessing, model orchestration, output validation, and deployment. Built on your stack.
Agentic Workflows Multi-step autonomous agents with human-in-the-loop checkpoints. Tool use, memory, planning, and guardrails for production reliability.
AI Security Red-teaming against your actual workloads. Prompt injection and jailbreak defense at the model boundary. Data flow controls, output filtering, least-privilege tool execution, and full audit logging. We harden every surface between input and output.

// 04 · Engagement Model

How a project runs.

Phase	Duration	Deliverable	Cost Model
Scoping & Proposal	1–2 weeks	One-page spec + fixed-price estimate	Fixed-price milestone
Learn & Design	2–4 weeks	Technical blueprint + cost model + risk register	Fixed-price milestone
Implementation	4–12 weeks	Working system + docs + tests + dashboards	Fixed-price, milestone-billed
Measurement & Handoff	2–4 weeks	Scorecard, runbook, team training	Fixed-price milestone
Ongoing Support	Optional retainer	Monitoring, tuning, escalation support	Monthly retainer

// 05 · FAQ

Common questions.

Do you work with specific LLM providers or stay vendor-neutral?

Vendor-neutral by design. We recommend the right model for the task — OpenAI, Anthropic, open-weight models, or a multi-provider routing layer — based on accuracy, cost, and latency requirements. No exclusive partnerships or kickbacks.

// 06 · Contact

Let's talk about what you're building.

We start every engagement with a paid scoping phase. Tell us what you're trying to achieve, and we'll tell you if AI is the right answer — and what it should cost.

hello@grds.io