TangoFlare is the AI consultancy arm of Atom Node. We help enterprises move from curiosity to compounding capability — from automating the one task that drains your team, to building the foundation that lets AI scale across every desk.
We don't sell roadmaps before we understand workflows. We sit with the people doing the work, then pick the use case where AI repays itself fastest.
An AI gateway, classification-aware routing, evals, and observability — built once, reused by every application that follows. No demos that can't go to production.
In regulated work — finance, defence, healthcare — AI assists the expert; it does not replace the decision. Every output is auditable, every model is swappable.
Our success is measured by how independent your team becomes. Documentation, runbooks, and a repeatable playbook leave with us — everything else stays.
Engagements scale with ambition — pick the lane that matches your moment.
One workflow. Start to finish. The intake form that swallows a person-week. The reporting pack that nobody wants to write. We ship a production-grade AI assistant against a single, painful task.
Where one task becomes a workflow. Co-pilots that consolidate data across systems, run multi-step reasoning, and present a confident draft for your expert to approve.
The platform that makes every future AI project faster, safer, and cheaper. Gateway, governance, evaluation, and an internal playbook that compounds across your organisation.
Our proposals are documents, not pitch decks — long-form, considered, written for the decision-maker who has to defend the choice. A taste of recent work below.
Accelerating credit assessment for regulated PMKS lending
Document intake & extraction across SSM, contracts, and bank statements, paired with a credit-assessment co-pilot that drafts scoring rationales for human approval — PDPA-compliant, BNM-aligned.
Secure, sovereign AI for maintenance, repair & overhaul
A classification-aware AI gateway with on-prem model serving for sensitive workloads, RAG over technical orders, and domain-tuned LoRA adapters — with full audit trail and knowledge transfer.
Every engagement — whether a single automation or a full transformation programme — runs through a version of these phases. We tell you which we're in, and what success looks like at the end of each.
Gateway, model serving, RAG pipeline, SSO, and integrations — the platform every later phase stands on.
Workflow mapping with the people doing the work, prioritised by impact vs. effort. Baseline metrics captured.
Deployed apps with prompt templates, guardrails, and feedback channels embedded from day one.
RAG, LoRA adapters, or fine-tuning where base models fall short — trained on your data, on your infrastructure.
Eval frameworks, regression pipelines, and dashboards. Drift caught before users do.
Runbooks, training tiers, and a repeatable playbook so your team owns the next use case without us.
Frontier & open-weight, on-prem & commercial. Routed by data classification.
RAG over your manuals, policies, and tickets — with cited sources.
Multi-step reasoning bound to your tools and approvals, never autonomous on decisions.
LoRA adapters and fine-tunes trained inside your security perimeter.
Audit logs, rate limits, classification-aware routing, model cards.
Test sets, regression pipelines, and human-in-the-loop quality reviews.
CMMS, ERP, DMS, ticketing — whatever your work already lives in.
Awareness, practitioner, power-user, and admin tracks for every rollout.
A 30-minute conversation. No deck. We'll either propose a path — or tell you it isn't AI-shaped.