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smaitic labs

Who We Serve

We work with Series A–C companies who are looking to expand their AI vertical. Typical engagement is asingle use-case pilot (8–12 weeks, $30–50k) that runs in your cloud and hands over code, dashboards, and runbooks.

Good Fit Indicators

Data warehouse in Snowflake / BigQuery / Postgres

Cloud onAWS / GCP / Azure

Basic product analytics in place

One KPI-linked use case (CTR, AOV, etc.)

Personas

CTO / VP Engineering

Need : delivery bandwidth, stack compatibility, reliability, cost control

We provide : architectures, CI/CD, monitoring, guardrails, handoffs

CPO / Head of Product

Need : faster delivery, measurable KPI impact

We provide : scoped pilots, LLM-first UX, experiment design, dashboards

Founder / CEO

Need : visible progress, predictable budget

We provide : We provide: defined 8–12 week plan, milestone billing, VPC deployment, next steps

Readiness Checklist

Use this to confirm a pilot can start in the next 2–4 weeks.

Data

Warehouse: Snowflake / BigQuery / Postgres

Event tracking available (product usage, orders/tickets)

Infrastructure

Cloud: AWS / GCP / Azure

Containerization available (Docker/Kubernetes preferred)

Access & compliance

API access to product and data sources

DPA/GDPR terms ready (or template review in progress)

Decision & scope

One use-case owner identified

Target KPI and acceptance criteria drafted

Budget ($30–50k) and time window (8–12 weeks) aligned

If one or two boxes are unchecked, we’ll help define a short pre-work list and timeline.

Vertical snapshots

E-commerce / Retail & Marketplaces

E-commerce / Retail & Marketplaces

Top use-cases: Personalization & Recommendations; Dynamic Pricing with guardrails

KPI focus: CTR, AOV, revenue lift, price-change acceptance

SaaS

SaaS

Top use-cases: In-app LLM Assistant (grounded RAG); Intelligent Search & Analytics

KPI focus: Activation, retention, time-to-value, ticket deflection, CSAT

Marketplaces

Marketplaces

Top use-cases: LLM Search; Catalog Intelligence (attribute extraction, dedupe, taxonomy)

KPI focus: Conversion rate, zero-result search rate, catalog completeness

How We Work

1

Discovery

1-2 weeks

Use-case selection, KPI and acceptance criteria, reference architecture, access checklist.

2

Build

6–10 weeks

Pipelines/models/APIs, eval harness, basic monitoring, cost guardrails, optional UI hooks.

3

Demo & handover

Run against acceptance criteria; deploy in your VPC; hand over code, dashboards, and runbooks; agree next steps.

Ready to launch your first AI pilot in weeks, not months?

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smaitic labs

We are an IT Consulting & Software Development Company helping our clients achieve digital transformation to meet varied business needs.

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