Boost your business productivity
using AI
Start
your AI
transformation
With an introductory phone call, we can help you navigate this rapidly changing environment and help close gaps in your current approach.
AI strategy consulting & advisory
Automate repetitive workflows
Build powerful internal tools
Launch new products
AI architecture review
Empower your team with AI
Connect LLMs to internal data
Reduce time spent on data entry
AI team training & seminars
Why AI? Why now?
As a leader, you are called to act, it is clear that AI is making an irreversible impact on the world across every industry. But it’s hard to plot your journey in the rapidly changing AI landscape. With new models coming out every month and new techniques emerging daily – the possibilities for implementing AI are numerous, ambiguously impactful, and risky. At Sierra, we’ve created an approach and toolkit that empowers leaders to safely navigate the stormy waters of AI innovation.
Connect your current state to an effective strategy that translates into ROI
Drive revenue, cut costs, and launch innovative new products
Automate repetitive tasks so your team can focus on creative, analytical work
We transformed our own workflow
with AI – we can help you, too.
Our process
Discovery
We dig into every step that your firm needs to deliver its product or services, from sales and operations, to relationship management, to back office and beyond.
Roadmap
We identify clear value propositions for your organization. Everything is spelled out in your language instead of technical jargon so your team can decide where to invest.
Proof of Value
We create prototypes for your highest priority use cases to validate that AI can deliver value for your business before you decide to make a larger investment.
Deliver Value
We build internal tools, AI Agents, and automations to deliver value to your business. We’ll use our experience crafting AI products to give you a head start over your competitors.
Got any
Questions?
Kriva Studio designs, builds, and deploys production-ready AI solutions tailored to your business needs. Whether you require custom machine learning models for predictive analytics, computer vision pipelines for automated image processing, or large-language-model integrations such as retrieval-augmented generation (RAG), embeddings, and fine-tuning, our team has the expertise to deliver reliable, scalable, and secure AI systems that drive real results.
We begin with a thorough assessment of your data quality, volume, and labeling requirements to ensure a solid foundation. Next, we develop proof-of-concepts—choosing between classical ML algorithms, deep neural networks, or large-language models based on what suits your use case best. Once validated, we package the model into containerized microservices (Docker/Kubernetes) with auto-scaling inference endpoints, then seamlessly embed these services into your application via React/Next.js front-end hooks or Python/Node.js back-end connectors. The result is a smooth, low-friction integration that enhances your product without disruption.
Our team is adept at crafting a wide array of intelligent features. This includes natural language understanding applications such as chatbots, semantic search engines, and automated summarizers; computer vision solutions like document OCR, image classification, and object detection; predictive analytics for demand forecasting, anomaly detection, and personalized recommendation engines; RAG-based knowledge agents that deliver context-aware FAQs, support bots, and research assistants; and end-to-end automation workflows that leverage AI-driven RPA, data extraction, and intelligent task routing.
We adopt robust validation practices—including train/test splits, cross-validation, and A/B testing—to verify model performance. Real-time monitoring and drift detection ensure your models maintain accuracy over time, while bias and fairness audits evaluate for unintended disparities and enhance explainability. All data is handled in encrypted pipelines with strict role-based access controls, and deployments can be hosted on-premises or within secure VPC environments. Together, these measures safeguard both the technical integrity and ethical compliance of your AI solutions.
Our engagements usually begin with a 2–4 week Discovery Sprint to align on business goals, gather datasets, and build a baseline model. This is followed by a 4–8 week MVP Build phase in which we deliver a production-grade inference API complete with CI/CD pipelines for continuous retraining. Finally, we support your AI in operations with Service Level Objectives (SLO)-driven monitoring, periodic retraining schedules, and ongoing feature enhancements to ensure long-term success.