AI Automation · Agents · Agentic Systems

We design, build and run production AI agents and automations.

Voice agents, multi-agent workflows, digital humans and content pipelines — engineered for concurrency, observability and uptime, then managed after launch. Serving enterprises across the US, UAE, Europe and India.

Book a 30-min automation audit
20+ specialistsAgentic Workflows · AI · AI Pair Programming · Predictive Analytics
Since 2013Bootstrapped & profitable
US · UAE · EU · INEnterprise delivery
Agent Orchestrator — order_pipeline_v3 RUNNING
TRIGGER order.created AI AGENT plan · route ARTWORK QC vision check ROUTING vendor match CRM SYNC write-back ▶
Runs today
1,284
Avg step latency
412ms
Error rate
0.18%
SIMULATED REPLAY OF A PRODUCTION RUN — PATTERNS FROM LIVE DEPLOYMENTS
40+
Automations & agents shipped
Sub-second
Voice agent response latency
1,000+
Concurrent sessions handled
10,000+
Orders / jobs processed daily
Selected work

Built, shipped, and running in production.

Every engagement follows the same discipline: a business problem, a system that solves it, and numbers that prove it.

NEW
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
View Full Workflow Breakdown
n8nLLM vision QCShopifyVendor APIs
latest
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
View Full Workflow Breakdown
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Agentic Workflow Blunt · Casestry
Print-on-demand

Print-on-demand order engine

ProblemManual order intake, artwork checks and vendor routing capped daily throughput and bred fulfilment errors.
BuiltAn agentic pipeline: order ingestion → AI artwork validation → SKU/vendor routing → print queue dispatch → status write-back, with human-in-the-loop only on exceptions.
10K+
Orders / day automated
11 → 2
Manual touchpoints per order
−90%
Routing errors
n8nLLM vision QCShopifyVendor APIs
Voice AI Vaani by Ekarthaan
Multiple industries

Low-latency, high-concurrency voice agents

ProblemInbound calls leak after hours; outbound teams can't scale; IVRs frustrate customers and never write to the CRM.
BuiltCustom voice agents on a streaming pipeline (ASR → reasoning → TTS) with barge-in handling, telephony integration, CRM write-back and consent/disclosure logic.
Turn latency
1,000+
Concurrent calls
24/7
Coverage, every call logged
Streaming ASR/TTSSIP / TwilioCRMGDPR / DPDP aware
Voice AI Vaani by Ekarthaan
Multiple industries

Low-latency, high-concurrency voice agents

ProblemInbound calls leak after hours; outbound teams can't scale; IVRs frustrate customers and never write to the CRM.
BuiltCustom voice agents on a streaming pipeline (ASR → reasoning → TTS) with barge-in handling, telephony integration, CRM write-back and consent/disclosure logic.
Turn latency
1,000+
Concurrent calls
24/7
Coverage, every call logged
Streaming ASR/TTSSIP / TwilioCRMGDPR / DPDP aware
Voice AI Vaani by Ekarthaan
Multiple industries

Low-latency, high-concurrency voice agents

ProblemInbound calls leak after hours; outbound teams can't scale; IVRs frustrate customers and never write to the CRM.
BuiltCustom voice agents on a streaming pipeline (ASR → reasoning → TTS) with barge-in handling, telephony integration, CRM write-back and consent/disclosure logic.
Turn latency
1,000+
Concurrent calls
24/7
Coverage, every call logged
Streaming ASR/TTSSIP / TwilioCRMGDPR / DPDP aware
Voice AI Vaani by Ekarthaan
Multiple industries

Low-latency, high-concurrency voice agents

ProblemInbound calls leak after hours; outbound teams can't scale; IVRs frustrate customers and never write to the CRM.
BuiltCustom voice agents on a streaming pipeline (ASR → reasoning → TTS) with barge-in handling, telephony integration, CRM write-back and consent/disclosure logic.
Turn latency
1,000+
Concurrent calls
24/7
Coverage, every call logged
Streaming ASR/TTSSIP / TwilioCRMGDPR / DPDP aware
Voice AI Vaani by Ekarthaan
Multiple industries

Low-latency, high-concurrency voice agents

ProblemInbound calls leak after hours; outbound teams can't scale; IVRs frustrate customers and never write to the CRM.
BuiltCustom voice agents on a streaming pipeline (ASR → reasoning → TTS) with barge-in handling, telephony integration, CRM write-back and consent/disclosure logic.
Turn latency
1,000+
Concurrent calls
24/7
Coverage, every call logged
Streaming ASR/TTSSIP / TwilioCRMGDPR / DPDP aware
Why our automations survive contact with reality

Production-grade, not prototype.

Most AI projects die between the demo and the deployment. Ours are engineered for the part that comes after the demo.

Concurrency & latency engineering

Streaming pipelines, queueing and load behaviour designed up front — the same discipline behind our sub-second voice agents and high-volume order engines.

Observability & tracing

Every agent run is logged and traceable. When something drifts — a model, an API, a data format — we see it before your customers do.

Error handling & human-in-the-loop

Exceptions route to people, not into the void. High-stakes actions get approval gates; everything else runs untouched.

Compliance-aware by design

Consent and disclosure logic, data residency and self-hosted deployment options for GDPR, EU AI Act and India DPDP contexts.

We stay after launch. Models drift, APIs change, workflows break silently. Managed AI Operations covers monitoring, updates and continuous improvement of every system we ship — so the automation that worked in month one still works in month twelve.

Ask about managed ops
How we work

From first call to running system, fast.

01 — DISCOVER

Automation audit

We map your workflow, find the highest-ROI automation candidates, and scope a pilot with clear success metrics.

1 call + written scope
02 — PILOT

Working pilot

A production-shaped pilot on your real data and real tools — not a slideware demo.

2–4 weeks
03 — PRODUCTION

Hardened deployment

Concurrency, error handling, observability, security review, team handover and documentation.

4–10 weeks by scope
04 — MANAGED OPS

Run & improve

Monitoring, drift detection, updates and continuous optimization on a monthly retainer.

Ongoing
Engineered with
Claude / GPT / GeminiLocal LLMs (Llama · Mistral)LangGraph / LangChainRAG pipelinesVector DBs (pgvector · Pinecone)n8n automationAI agents · tool useWhisper ASRStreaming TTSVoice agents · SIP / TwilioComputer visionFine-tuning / LoRAHugging FacePythonNode.jsSupabase
Start here

Tell us the workflow that wastes the most hours.

In 30 minutes we'll tell you whether it's automatable, what it would take, and what it's worth. No deck, no fluff.

Book a 30-min automation audit
The 7-day blueprint: send us one workflow — a Loom, a doc, even a voice note — and within 7 days you'll get a build blueprint: architecture, timeline, cost and projected ROI. Free, and yours to keep either way.
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