Metal GPU Acceleration
Built for Apple’s native Metal framework for high-performance, unified processing.
[01]Kiraa thinks different
Kiraa thinks different
on Apple Silicon.
Kiraa runs natively on Apple Silicon to take advantage of a unified system-on-a-chip architecture built for in-memory analytics. CPU, GPU, and Neural Engine operate over shared memory, eliminating data copying, reducing latency, and improving predictable performance.
Apple Silicon’s architecture enables analytical workloads to execute locally, close to data and decisions, without cloud orchestration or external accelerators — bringing high-performance analytics to the edge.
[02]
True innovation isn’t about doing what people want—it’s about giving them what they need.
When I started building Kiraa, I made a decision many people called reckless: I went Apple-native with Swift for the core engine and Metal for GPU acceleration.
The payoff has been absurd. Kiraa now processes analytical workloads in memory faster than I ever imagined — multithreaded, with CPU and GPU working together, without SQL or MDX to slow it down.
Engaging whole business brains with new technology.
macOS Sequoia Security
Built on Apple’s latest, most secure operating system with advanced privacy and system integrity.
Unified Device Experience
Consistent performance across Mac, iPad, iPhone, and Vision devices for seamless synchronise and handoff.
Analytical DataFrame
Structured and unstructured data across systems, documents and conversations, pre-computed into a single, quantitative and qualitative analytical layer.
Controlled Large Language Model
Context-aware reasoning (CAG) over retrieval-augmented assembly (RAG) for improved consistency, relevance and traceability.
On-Premises Power by Apple Silicon
High-performance processing, inside the organisation, with low-latency insight, predictable execution, and full control over data governance.
Knowledge Substrate
Kiraa’s unified knowledge substrate means insights emerge already connected for intuitive adoption, free form complex navigation and context-switching.
Custom Ontology
Kiraa builds its world around businesses by mapping roles, terminology, metrics, structures and relationships for a unique, shared source of truth.
Contextual Access
Users feel that Kiraa knows who they are and why they’re asking questions — because depth, framing and emphasis are shaped by access and user role context.
Security, data
sovereignty and AI.
Together at last.
On-premises deployment
Kiraa runs on local hardware inside the organisation, keeping data, models and inference off third-party cloud environments while enabling predictable performance and operational control.
Accuracy-first model
Through its proprietary Analytical Dataframe, Kiraa generates insights from verified enterprise data and rules, preventing fabrications and untraceable outputs.
No LLM leakage
Kiraa’s uses an original Large Language Model, and does not transmit proprietary knowledge to consumer AI, eliminating training risk and preventing information leakage.
[07]
“Users feel like Kiraa is built around them. Because she’s built around their actual business.”
[08]Meet the
Meet the
Kiraa team
Frequently Asked
Questions.
Kiraa uses an Analytical DataFrame and original LLM to train on your data, run on-premises, and speak your business language.
Traditional BI surfaces what happened. Kiraa surfaces what to do — context-aware recommendations grounded in your operational data, without dashboards.
Every answer is grounded in your own data via the Analytical DataFrame; the LLM never invents facts because it can only reason over what the dataframe surfaces.
No — Kiraa speaks business language. The Analytical DataFrame translates queries into the underlying retrieval; you never need to write a join.
On-premises, inside your network, on Apple Silicon hardware. Your data and prompts never leave the building.
Sovereign data + sovereign compute. Nothing crosses the cloud, so there's no attack surface, no leak risk, and no third-party vendor in the trust path.
Up to 80× faster on equivalent questions, because Kiraa is architected for Apple Silicon NPUs and skips the cloud round-trip.
Opportunities, risks and bottlenecks across your business — with the underlying numbers, sources, and recommendations traceable end-to-end.
Add seats, add datasets, add KPIs. Kiraa scales horizontally within the on-premises deployment without external dependencies.
Data never leaves your network. Every answer is auditable. Every prompt is logged locally. There's no third-party in the data path at any layer.
[10]
Ready tomeet Kiraa?
Kiraa is selectively deployed within real operational environments. Start a conversation to explore on-premises, decision-grade AI for your business.