Agentic platforms
Multi-agent · tool-use
Production agents that decide, call tools, hand off to each other, and log every step. Built for claims, intake, ops, dispatch — wherever a multi-step workflow lives.
From SME pilots to enterprise platforms to the UAE federal agentic-AI mandate — we ship AI that earns its seat at the table. Audited, evaluated, integrated with the systems you already run.
On 23 April 2026, the federal taskforce put 50% of government services — visas, Emirates ID, residency, traffic, business licensing — on a two-year clock to autonomous AI. We’ve spent ten years shipping bilingual, audited, production-grade agents that plug into UAE Pass and the federal data spine. Pilots ship in four weeks. Full platforms in three quarters.
Demos impress in a notebook and never reach a regulator. Every Massive engagement is built for the second column from day one.
Pick the subset that fits the brief. We wire the rest in over the build — every engagement ends with the same audit-ready surface.
Multi-agent · tool-use
Production agents that decide, call tools, hand off to each other, and log every step. Built for claims, intake, ops, dispatch — wherever a multi-step workflow lives.
Grounded · cited
Hybrid retrieval over your own documents, citations on every answer, residency-aware deployments. The model answers from your truth, not the open web.
Regression · audit
Regression suites before any model ships. Audit exports, redaction policies, human-in-the-loop consoles. The numbers a regulator can verify.
Native · dialect-tuned
Arabic UIs, RTL workflows, dialect-tuned outputs evaluated by native operators — not run through a translation API. English and Arabic at parity from day one.
UAE Pass · FTA · federal spine
Pre-built adapters for UAE Pass identity, FTA / Peppol, and the federal data spine. Mapped to ministry workflows the mandate calls for.
Versioned · observed
Prompt versioning, model swaps, cost monitoring, rate limits, fallback chains. Every deploy is reversible; every dollar is accounted for.
The same four-beat cadence runs every engagement, sized to the brief. The eval bar comes before the code — not after the demo.
Not every workflow wants an LLM. We diagnose where AI compounds — and where it drains. Output is a one-page brief with the eval bar set before any code is cut.
→Before a single token ships, the regression suite exists. Bilingual test sets, edge-case probes, governance checks. No model lands without a number against this bar.
→Senior pod, two-week ship cadence, MLOps + observability + governance wired in from day one. You see working agents in the eval console by the end of week three.
→Weekly eval reports, quarterly model swaps, audit-ready every Friday. The system keeps improving against the bar — long after our pod rotates out.
→Frontier models from every major lab, orchestration frameworks for multi-agent work, retrieval and eval tooling that keeps the numbers honest — and sovereign-cloud options when the regulator calls for them.
Same eval discipline at every tier. Pilots ship in four weeks; federal programs run on bespoke NDAs. Pricing on the call.
Priced on the call
4 weeks · fixed-fee
Priced on the call
12–24 weeks · retainer
Priced on the call
Bespoke · NDA-only
Full references — with names, numbers, and the engineer who shipped — on request after a first call.
Covered here once, so the first call can be about your workflow and not the platform.
The agents only matter if the systems they plug into are honest. Here’s what else we ship.
Tell us the workflow. A principal replies within 24 hours with a feasibility call booked and an eval bar drafted before the week closes.