Agentic AI that works while your team sleeps.
Growth Vector engineers agentic AI systems that think, decide, and act — so your teams can focus on what humans do best.
Trusted by teams at
What we build
Six ways we replace manual work with autonomous agents.
Every service results in production software — not slides, not prototypes.
Agent Layer — Specialized Digital Workers
Purpose-built agents that act as digital teammates — Triage, Diagnosis, and Execution agents that plan, reason, and take action across your systems with full tool access.
- Triage · Diagnosis · Execution agents
- Goal-directed planning & long-term memory
- Tool-using pipelines across your stack
- Self-correction with full decision trail
Multi-Agent Workflows
Orchestrated graphs of specialized agents that hand tasks between each other — with shared memory, retries, and supervisor agents coordinating the work end-to-end.
- LangGraph & CrewAI orchestration
- Agent-to-agent handoffs & shared state
- Supervisor ↔ worker agent patterns
- Event-triggered multi-agent pipelines
LLM Orchestration
Production-grade integration of OpenAI, Anthropic Claude, and open-source models — with intelligent model routing, cost controls, and systematic evaluation.
- Model routing & intelligent fallbacks
- Context window & token management
- Prompt engineering & eval harness
- Fine-tuning & distillation pipelines
Voice & Multimodal AI
Real-time conversational agents replacing call centers and IVRs — multilingual, low-latency, and production-hardened TTS / STT pipelines.
- Real-time conversational voice agents
- Meeting summarization & action extraction
- Call center automation
- Multilingual TTS / STT pipelines
RAG & Knowledge Agents
Secure, private retrieval agents over your PDFs, wikis, codebases, and databases — with zero hallucination tolerance and complete source auditability.
- Private multi-tenant knowledge bases
- Hybrid semantic + keyword search
- Structured & unstructured ingestion
- Retrieval evaluation & improvement
Governance & Human-in-the-Loop
Enterprise governance layer for agents — RBAC, full audit logs, approval workflows, and confidence thresholds so your agents act within boundaries and escalate gracefully.
- RBAC & scoped agent permissions
- Full decision-log audit trail
- Human-in-the-loop approvals
- Confidence thresholds & guardrails
Our process
From first call to first outcome in ~2 weeks.
A proven six-step path — from scoping your problem to a production agent running in your stack.
- Step 01
Discovery Call
We map your highest-leverage automation opportunities in a focused 60-minute session.
- Step 02
Problem Framing
Define precisely what to automate, what data exists, and what success looks like.
- Step 03
Agent Architecture
Design the agent graph — models, tools, memory, and orchestration pattern.
- Step 04
POC Build
Working software in 2 weeks. Testable, demonstrable, tied to real outcomes.
- Step 05
Production Deploy
From POC to monitored, reliable production — with full observability and handoff.
- Step 06
Continuous Optimization
Ongoing evals, model upgrades, and expansion — agents improve as your data grows.
Integrations
Your stack. Our agents. No rip-and-replace.
Our agents embed into the tools your teams already live in — triggering on events, acting autonomously.
What clients say
Real outcomes. Real clients.
From healthcare to finance to automotive — agents delivering measurable results.
Their agents took over 70% of our patient intake workflow in under 3 weeks. Our nurses got their evenings back — and our patients got a faster, smoother experience.
NorthBridge Health Network
Healthcare · 🇺🇸 Boston, USA
Finance agents close our books in hours, not days. The ROI was visible in the first month — we had full buy-in from the board by month two.
Gulf Financial Holdings
Finance · 🇦🇪 Dubai, UAE
We replaced four internal tools with one orchestrated agent system. Support resolution time dropped 62%. Our team finally stopped firefighting tickets.
Vertex Cloud Platform
SaaS · 🇺🇸 San Francisco, USA
The voice agent handles 80% of our service bookings now — in English and Arabic. Customers literally don't know it's AI. Call abandonment is down from 35% to 4%.
Emirates Auto Group
Automotive · 🇦🇪 Dubai, UAE
Case studies
Shipped to production. Measured in outcomes.
Ready to ship?
From problem to production in two weeks.
Book a discovery call. We'll scope your highest-leverage AI opportunity and have working software in your hands in two weeks.
Book a discovery call