Custom AI systems for companies that can't afford to move slow.
From agentic workflows to fine-tuned LLMs, we design, build, and ship. Trusted by teams across fintech, e-commerce, and SaaS.
From Series-A startups to category leaders.
Ready to leverage AI for real growth?
Most teams treat AI as a buzzword. We treat it as a precision tool — mapping your processes, data, and goals before writing a single line of code.
Everything you need to ship AI — one senior team.
LLM Fine-Tuning
LLM fine-tuning is the process of further training a base language model on your own examples so it reliably produces the tone, structure and domain reasoning your use case needs, every time.\n\nPrompt engineering can only push a general-purpose model so far before instructions get long, brittle and inconsistent. iSkylar curates the training data, runs the fine-tuning and evaluation cycles, and ships a model that holds its behavior in production, without re-litigating the prompt every time an edge case appears.
LLM Fine-Tuning
LLM fine-tuning is the process of further training a base language model on your own examples so it reliably produces the tone, structure and domain reasoning your use case needs, every time.\n\nPrompt engineering can only push a general-purpose model so far before instructions get long, brittle and inconsistent. iSkylar curates the training data, runs the fine-tuning and evaluation cycles, and ships a model that holds its behavior in production, without re-litigating the prompt every time an edge case appears.
Prediction & Purpose-Built Models
Purpose-built prediction models are trained for one decision, on your data, instead of being adapted from a general-purpose model that was never built for your domain. Generic APIs are fast to start with but plateau fast, they don't know your seasonality, your customer base or the edge cases that actually cost you money. iSkylar builds prediction models scoped tightly to a single business outcome, trained on your historical data and calibrated until the accuracy holds up in production, not just in a benchmark.
AI/ML Development
AI/ML development is the discipline of turning raw business data into a model that makes a decision, a price, a risk score, a recommendation, a forecast, reliably and at scale.\n\nMost AI initiatives stall not at the model but at the handoff: a notebook that works once but never reaches production, retrains, or monitoring. iSkylar builds the full pipeline, data engineering, model training, evaluation and MLOps — so the model your data scientists prove out is the same one running in production six months later.
Agentic AI & Workflow Automation
Agentic AI workflow automation is the shift from tools that wait for instructions to systems that own an outcome end to end.\n\nWhere conventional automation follows a fixed script, an agent perceives the state of a workflow, decides the next best action, calls the right APIs or tools, and adapts when something breaks — a missing field, a failed call, an unexpected exception. iSkylar designs and ships the orchestration layer, guardrails and observability that let these agents run reliably in production, not just in a demo.
AI Chatbot Development
iSkylar builds AI-powered chatbots for websites, mobile apps, and enterprise platforms, using NLP, LLMs, and custom training on your data to create bots that understand context, escalate intelligently, and get measurably better over time. Whether you need a customer support bot, a sales qualification assistant, or an internal knowledge agent, we deliver conversational AI that works in production, not just demos.
Generative AI Development
iSkylar builds production generative AI systems, RAG-powered knowledge assistants, LLM-integrated workflows, content generation pipelines, document intelligence tools, and custom fine-tuned models, using OpenAI, Anthropic, open-source LLMs, and your proprietary data. We engineer systems that are accurate, auditable, and cost-efficient at production scale, not just impressive in a demo.
More than a vendor. Your team's force-multiplier.
Senior-only talent
No juniors on your project. Every engineer has shipped production AI.
Speed without shortcuts
Modular architecture and reusable AI components accelerate delivery by 40%.
Domain-specific accuracy
We fine-tune on your data for precision that generic APIs cannot match.
Global delivery, local mindset
Distributed teams with aligned time-zones and direct Slack access.
Enterprise-grade security
SOC 2-aligned processes, data isolation, and audit trails by default.
We work in your stack — not the other way around.
LLM Providers
Frameworks
Cloud & Infra
Languages
From kickoff to production — predictable, every time.
Discovery
Stakeholder interviews, data audit, and feasibility scoping.
1 wkArchitecture
Model selection, data pipelines, and system design review.
1 wkBuild
Rapid sprint cycles with daily stand-ups and weekly demos.
4–6 wksEvaluation
Evals, red-teaming, and bias testing before any prod traffic.
1 wkIntegration
API wiring, auth, observability, and staging environment.
1 wkLaunch & Monitor
Staged rollout with SLA monitoring and 30-day hypercare.
2 wksThe work speaks. So do the awards.
Industry-trained, not industry-generic. Pick yours →
What founders & CTOs say
after the kickoff.
"We replaced a 22-person agency with iSkylar. Shipped in 9 weeks what they'd promised in 9 months."
From 'hello' to first deploy. Without the RFP theatre.
Share AI needs & goals
A 30-minute conversation to understand your challenge, data landscape, and success criteria.
We scope & estimate
Within 48 hours: a written scope, timeline, and fixed-fee or T&M options.
Sign & kick off
Simple MSA and SOW. No 60-page contracts. Kickoff call within a week.
Weekly build cycles
Every Friday you see working software, not slide decks.
Ship & iterate
Production deploy with monitoring in place. We stay on for hypercare.