Autonomous support agent for a fintech platform
A retrieval-grounded assistant connected to live account data, with strict guardrails and full audit trails.
68% of tickets resolved without human handoff
Mantra Wise designs and builds custom AI systems — LLM assistants, computer vision, automation and MLOps — turning ambitious ideas into reliable products that move real metrics.
Projects in production
Enterprise teams
Client retention
The stack we build on
What we do
Strategy, engineering, and operations under one roof — so your AI initiative moves from idea to impact without the handoffs.
Bespoke AI products and ML applications engineered end-to-end — from architecture to deployment — for your exact problem.
Learn moreClear roadmaps for adopting AI: opportunity mapping, feasibility, build-vs-buy, and a plan your teams can execute.
Learn moreRetrieval-augmented assistants, agents, and conversational systems grounded in your data with guardrails built in.
Learn moreReliable pipelines, feature stores, and deployment infrastructure so models stay accurate, observable, and scalable.
Learn moreImage and video intelligence for inspection, detection, and automation — trained on your domain and edge-ready.
Learn moreIntelligent workflow automation that removes manual effort and connects AI into the tools your teams already use.
Learn moreEvery Mantra Wise solution runs on the same disciplined loop — data flows in, models reason over it, agents take action, and governance keeps it safe and observable.
Ingest
Streaming + batch data
Reason
Models & embeddings
Act
Agents & automations
Govern
Eval, guardrails, audit
→ vectorize(docs) · 12,480 chunks embedded
→ retrieve(top_k=8) · 41ms
→ agent.plan() · 3 tool calls dispatched
→ guardrail.check() · PASS
→ stream(response) · 98 tok/s
> system: ready
How we work
Most AI projects stall between the demo and production. Our process is engineered to cross that gap — predictably.
We map the opportunity, audit your data, and define success metrics before a single model is trained.
Fast, evaluable proofs of concept that validate feasibility and de-risk the build with real data.
Production-grade systems with testing, observability, and guardrails — built to scale, not just to demo.
Continuous monitoring, retraining, and optimization so your AI keeps improving long after launch.
Selected work
A look at how applied AI translates into measurable business results for the teams we partner with.
A retrieval-grounded assistant connected to live account data, with strict guardrails and full audit trails.
68% of tickets resolved without human handoff
Edge-deployed vision models inspecting thousands of units per hour with sub-100ms latency.
3.2x faster QA, 41% fewer escaped defects
Automated retraining pipelines and feature stores powering demand forecasts across 800 stores.
$12M annual savings in inventory costs
Tell us what you're trying to solve. We'll show you what applied AI can realistically do — and how fast.
Book a discovery call