Services

Everywhere AI can move your software forward, we work.

From day-to-day development to the architecture and practices underneath it, here's how Klearsk.ai partners with your team.

New to working with us?

Start with an AI Readiness Sprint

A focused, fixed-scope engagement: we review your codebase, architecture and workflows, then hand you a concrete roadmap for where AI can help most — no open-ended proposal required.

Ask about the Sprint

AI-Enabled Development

Ship software faster without cutting corners. We embed AI-assisted engineering practices — copilots, code generation, automated testing, AI-assisted code review — directly into your team's existing workflow.

AI coding workflow setup
Team enablement & training
Custom AI tooling integration
Code quality & review automation

Product Development

End-to-end product development for AI-native products — UX/UI design, architecture and rapid prototyping through to production-grade builds, for startups and enterprise teams building AI features.

Product strategy & scoping
UX/UI design & prototyping
Full-stack build & delivery
Post-launch iteration support

Process Automation with AI

We identify manual, repetitive workflows across your business and automate them with AI agents and intelligent tooling — cutting cost and freeing your team for higher-value work.

Workflow audit & opportunity mapping
Agent & automation design
Integration with existing systems
Monitoring & continuous improvement

Architecture Consulting & Reviews

An independent review of your system architecture — scalability, security, maintainability and AI-readiness — with a clear, prioritized roadmap of recommendations.

Architecture audit
Scalability & performance review
AI-readiness assessment
Prioritized recommendations roadmap

AI Best Practices Implementation

We bring structure and rigor to how your organization adopts AI — from evaluation frameworks and guardrails to documentation and team-wide standards.

AI governance & guardrails
Model evaluation frameworks
Internal documentation & standards
Team training & enablement

LLM Integration & RAG Engineering

We connect large language models to your own data and systems — retrieval-augmented generation, vector search and embeddings, fine-tuning and prompt engineering — so your AI features are grounded in your real information, not just what a model learned in training.

RAG pipeline & vector search design
LLM & embedding model selection
Fine-tuning & prompt engineering
Retrieval quality evaluation

AI Strategy & Advisory

Before you build, we help you decide what's worth building. A fractional AI advisory engagement for leadership teams — assessing where AI creates real value, prioritizing use cases, and building the internal case for investment.

AI opportunity assessment
Use-case prioritization & roadmap
Build-vs-buy guidance
Ongoing fractional AI advisory

Data & AI Infrastructure / MLOps

The infrastructure layer that makes AI systems reliable at scale — data pipelines, model-serving and deployment tooling, and the monitoring that catches drift and failures before your customers do.

Data pipeline & platform design
Model serving & deployment infrastructure
MLOps tooling & CI/CD for models
Production monitoring & observability

Custom AI Agent Development

We design and build bespoke AI agents — for internal use or as customer-facing product features — that plan, use tools, and complete multi-step tasks reliably, not just answer questions.

Agent design & task scoping
Tool use & multi-step reasoning
Customer-facing agent products
Testing & reliability hardening

AI Security & Compliance

AI systems open new attack surfaces and new compliance obligations. We harden your models and pipelines against prompt injection and data leakage, build in access controls and data lineage, and get you audit-ready for frameworks like SOC 2 and the EU AI Act.

Prompt-injection & model security testing
Data privacy & access controls
Audit-ready documentation (SOC 2, EU AI Act)
Ongoing security monitoring

Legacy System Modernization with AI

We use AI to accelerate legacy modernization — mapping undocumented systems, generating specs from existing code, and assisting incremental refactors and migrations, so you modernize without betting the business on a full rewrite.

Legacy codebase analysis & mapping
Automated spec & documentation generation
Incremental refactor & migration planning
AI-assisted test coverage for legacy code

AI-Powered Analytics & Business Intelligence

We build AI-powered analytics on top of your existing data — natural-language querying, automatically generated dashboards, and forecasting models — so decisions get made from evidence, not guesswork.

Natural-language data querying (NL2SQL)
AI-generated dashboards & reporting
Forecasting & predictive models
Data-to-decision workflows

Not sure which service fits?

Tell us where you're stuck and we'll point you to the right starting place — no obligation.

Talk to us