What We Do
AI & Software Development Services
From custom AI systems to full-scale software builds — six ways we help mid-market companies ship production-ready technology, backed by senior engineers and a fixed, transparent process.
Book a free strategy callCustom AI Development
Machine learning systems designed around your data and deployed into your workflow. From predictive models to computer vision, we build what fits your actual data — not a generic off-the-shelf model.
Learn MoreLLM & Chatbot Integration
RAG pipelines, AI agents, and assistants built on GPT, Claude, and open-source models. We integrate LLMs into your existing systems, not just a chat widget bolted onto your homepage.
Learn MoreAI Process Automation
Automate document processing, support, and back-office work — and measure the hours saved. Every automation ships with a before/after metric, not just a demo.
Learn MoreCustom Software Development
Web and mobile applications engineered to scale from MVP to enterprise. The same senior engineers from day one through production — no junior hand-offs.
Learn MoreData Engineering & Analytics
Pipelines and dashboards that make your data AI-ready and decision-ready. We fix the data foundation most AI projects fail on before they even start.
Learn MoreAI Strategy & Consulting
A prioritized AI roadmap with ROI estimates — before you spend on development. Fixed-price discovery phase, so you know the full budget upfront.
Learn MoreWhy companies choose Cognito Bay
Outcomes, not experiments
Every engagement is tied to a measurable KPI — cost saved, revenue driven, hours reclaimed. Not a demo that dies in staging.
Senior engineering, every project
The engineers you meet in discovery are the ones who build your system. No bench-warming, no junior hand-offs.
Speed with rigor
90-day delivery cycles without cutting corners on security, documentation, or testing.
Frequently asked questions
Most projects range from $25,000 for a scoped pilot to $150,000+ for enterprise systems, depending on data readiness and integration complexity. Every engagement starts with a fixed-price discovery phase, so you know the full budget before development begins.
Most engagements run on a 90-day cycle from discovery through production deployment, followed by ongoing optimization. Smaller automation projects can ship in as little as 4–6 weeks.
No. Our data engineering service exists specifically for teams without in-house data infrastructure — we build the pipelines your AI systems need as part of the engagement.
We build on GPT, Claude, and open-source models like Llama, choosing based on your cost, latency, and data-privacy requirements rather than defaulting to one vendor.
You do. Every line of code, model configuration, and piece of documentation we produce is yours outright at project completion.
We sign NDAs on request, follow your existing security review process, and can work within HIPAA, SOC 2, or industry-specific compliance requirements — ask us about your specific needs during discovery.
Not sure which service fits your project?
Book a free 30-minute call and we'll help you figure out where to start.