We build AI systems — and let you run them yourself before you hire us.
Ambiakshi is a small, hands-on engineering studio working in multi-agent systems, retrieval architectures, and small language models. We don't do slide decks. Every card below is either a live sandbox you can click into right now, or clearly marked as a prototype or synthetic model — never a claimed client outcome unless we name the client.
No case studies here are borrowed credibility — see exactly what's real: Read our Capabilities Disclaimer →
Live Demos & Proof-of-Concept Builds
Every card below links to something real — a live sandbox, a working prototype, or a walkthrough you can book. Status is labeled plainly, not buried in a footnote.
AML / KYC Fraud Detection Engine
Anomaly scoring, entity risk graphs, and an alert-triage workflow for compliance teams — trained and demonstrated on synthetic transaction data.
Air-Gapped Document Intelligence (GraphRAG)
On-premise retrieval over sensitive document sets — dense + hybrid search, knowledge-graph grounding — demonstrated on a generic/synthetic knowledge base. Applicable to healthcare, legal, and financial documents.
Sovereign SLM vs Frontier LLM: Illustrative TCO Model
An interactive model — not a client outcome — showing what a 200M-token/month workload could save moving from frontier APIs to a self-hosted SLM. Adjust the assumptions to your own numbers.
Cybersecurity Anomaly Detection
Behavioral baselining and anomaly scoring over synthetic network/auth telemetry, built on the same multi-agent triage pattern as our fraud engine. Not yet self-serve — we'll walk you through it live.
Financial SLM Forge & Stock Sentiment
Open, publicly explorable: quantized SLM benchmarks, financial sentiment inference, and GGUF weight downloads. This one you can click into right now.
AMBIUTILS Developer Tools
59 free, client-side developer utilities — zero backend uploads. It's the fastest way to see our shipping velocity firsthand.
We design with governance in mind from day one
Human-in-the-loop approval gates, audit logging, and guardrails informed by frameworks like NIST AI RMF — built into the architecture, not bolted on after. This is our engineering approach, not a claim of a completed compliance audit or certification.
See how this shapes our architectureWhat We're Building Next
Forward-looking, actively in progress — not shipped yet. We'll say so plainly when that changes.
DigiWorker
Agentic AI teammates for day-to-day operational roles: project coordination, PM status tracking, Unix/sysadmin routine tasks, and automated daily financial reporting.
HR Intelligence SLM
A domain-tuned small language model for HR workflows — screening support, policy Q&A, and onboarding assistance.
EdTech Digital Twin
Simulated learner/institution models for adaptive curriculum design and outcome prediction.
These are in active development. Join the early access list to follow our progress and get first access when they ship.
Or talk to us directly about your timelineOur Engineering in Action
Want proof of shipping velocity, not just a pitch? Try the free tools suite or explore our open SLM benchmarking platform — both are real, both are live, both are ours.
tools.ambiakshi.com
Everyday developer tools, cryptographic hash engines, JSON formatters, and financial calculators — all client-side, zero backend uploads.
slm.ambiakshi.com
Financial SLM Forge, stock sentiment intelligence, open-weights GGUF downloads, and quantitative benchmark evaluation harnesses.
ambiakshi.com
AI engineering, sovereign SLM fine-tuning, Scaled Agile (SAFe) transformations, and air-gapped system prototyping.
Schedule a 1-on-1 AI Architecture Discovery Session
Connect directly with Ambiakshi's engineers to evaluate your data pipelines, review RAG topologies, or scope a multi-agent prototype.