Logistics 3PLSupport deflection
62% of tickets now resolved by AI within 90 seconds. Saved 1.4 FTE / year.
Built in 5 weeks.
AI Development / AI Agents
Custom AI agents that actually ship — not demos that die in week 4.
We embed senior AI engineers with your team to build LLM-powered products and ops agents that move real numbers. Production-ready in 6 weeks. SOC 2-ready by default.
For ops, sales, and product leaders who got a flashy AI POC last year — and watched it die when it met real users, real data, and real volume.
We sign your MNDA before the call · No 50-slide AI evangelism deck · Diagnosis or no-fit by minute 25
14AGENTS IN PRODUCTION
$18MSAVED FOR CLIENTS
6 wksPOC TO PROD
0HALLUCINATION DISASTERS
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Most AI projects don't fail at the demo. They fail at scale.
WHAT BROKE LAST TIME
- Your POC worked on 10 test inputs. It hallucinates on the 11th.
- No eval framework — you can't tell if the new prompt made it better or worse.
- Costs spiked 14× when you hit real volume (no model routing, no caching).
- Latency 8s — users left the app before the response arrived.
- Compliance team blocked production deploy because PII flowed to OpenAI.
HOW WE ENGINEER PAST IT
- Eval suites and golden datasets before a single line of prompt is locked.
- Multi-model routing — cheap model for the easy 80%, smart model for the 20%.
- Streaming responses + RAG-cached retrievals = sub-2s p95 latency.
- PII redaction layer + private inference for regulated data.
- Human-in-the-loop where stakes are high. Full automation where they're not.
Six AI agent patterns we ship most often
Customer-Support Agent
Ticket deflection, tone-matched replies, escalation routing. Plugs into Zendesk, Intercom, HubSpot. Typical lift: 38% deflection rate within 60 days.
Sales SDR Agent
Qualifies inbound leads via chat or email, books meetings on calendars. Plugs into HubSpot, Pipedrive, Salesforce. Typical lift: 3× meetings/week, no extra rep.
Ops Automation Agent
Reads invoices, processes claims, classifies documents, writes summaries to Slack. Cuts manual ops time 60–80%.
Internal Knowledge Copilot
Lets your team query Notion, Confluence, Drive, Slack history in natural language. Cited answers only — no hallucinations.
RAG-Powered Search
Custom retrieval over your documents. Vector + hybrid + reranker. Better than ChatGPT on your own data — and your data stays yours.
Voice + Multimodal Agent
Phone agents that book appointments, handle FAQs, escalate to humans. Images/PDFs/CAD in, structured data out.
Six weeks from kick-off to a live, measured AI agent
01Week 1Use-case scoring
02Week 2Eval framework
03Wks 3-4Build + RAG
04Week 5Human-in-loop
05Week 6Prod + runbook
- Week 1 — We score 5 candidate use cases on (value · feasibility · data-readiness · adoption). You pick one. We commit to a measurable outcome.
- Week 2 — We build the eval harness first. Golden dataset, scoring rubric, regression suite. This is the step every other agency skips.
- Weeks 3–4 — Build the agent and ingest your data. Daily progress in a shared Loom. You can pause anytime with no penalty.
- Week 5 — Human-in-the-loop tuning with your team. We use real cases to harden prompts, add guardrails, and route edge-cases to humans.
- Week 6 — Production deploy + ops runbook: monitoring, escalation paths, retraining schedule, cost dashboards.
Production-grade AI is a stack problem, not a model problem
- Models: OpenAI GPT-5 / 5-mini, Anthropic Claude 4.6 / Haiku 4.5, Google Gemini 2.5 Pro, Mistral, open-weights via vLLM.
- Orchestration: LangGraph, LlamaIndex, CrewAI, custom tooling.
- Retrieval: Pinecone, Weaviate, Qdrant, pgvector. Hybrid + rerankers (Cohere, Voyage).
- Eval + Obs: LangSmith, Arize, Helicone, Phoenix. Golden datasets per use-case.
- Voice: Deepgram, ElevenLabs, OpenAI Realtime, Vapi, Retell.
- Deploy: AWS Bedrock, Azure OpenAI, GCP Vertex, or fully self-hosted via vLLM/Ollama for sensitive data.
ROI-first results
B2B SaaSSDR agent
3.7× more qualified meetings/week than the previous form. CAC down 41%.
Live in 6 weeks.
Healthcare opsClaim summarisation
Cut review time per claim from 14 min to 90 seconds. PII-safe via on-prem deploy.
Compliance signed-off in week 8.
Built for enterprise procurement
YOUR DATA STAYS YOURS
- Zero training on your data, no exception.
- PII redaction layer before any inference call.
- Audit log of every prompt, every response, every cost.
- Region-locked inference (EU, US, AU, SG) on request.
BUILT FOR PROCUREMENT
- SOC 2 Type II in progress (Q3 2026).
- GDPR / Australian Privacy Act / PDPA aligned.
- We sign your MNDA before kick-off.
- We can run fully on your AWS/Azure/GCP — no Parallel Loop infra.
Three ways to start
6-Week AI Pilot
$24,990 fixed
- One use-case, end-to-end.
- Eval framework + golden dataset.
- Production deploy on your infra.
- Ops runbook + 30 days post-launch.
- Outcome guarantee (or extend free).
Embedded AI Squad
$12,000 / mo / engineer
- Senior AI engineer in your team.
- PM + ML ops shared across squad.
- Slack + GitHub + standup.
- Pause with 14-day notice.
- Minimum 3 months recommended.
Outcome-Based
Custom
- We invest engineering hours up front.
- You pay on measured outcome.
- For mature ops teams with clean data.
- Tickets deflected, meetings booked, etc.
- Quarterly settlement.
What buyers ask us before they sign
2024 agencies sold POCs. We sell measurable production outcomes. We start with the eval framework, not the demo.
No. We use enterprise-grade endpoints with training opt-out by default, and we can deploy fully on-prem or in your VPC if needed.
Yes — embedded squads work alongside your engineers. We can do code review, eval design, or just take a single workstream.
Depends entirely on the use-case. For ticket deflection, 90%+ on routine cases. For numerical reasoning, we pair models with deterministic tools. We never promise accuracy without showing the eval suite.
RAG with citations + structured output + guardrails. For high-stakes outputs we route to a human reviewer. We treat hallucination as an engineering problem, not a "prompt better" problem.
All of them. We choose per use-case based on cost, latency, quality, and your data sovereignty requirements.
Yes — phone agents and in-app voice. Deepgram + ElevenLabs + OpenAI Realtime are our defaults, but we can use Vapi/Retell.
Typically $200–$2,000/month per agent depending on volume. We build cost dashboards from day 1 so you watch unit economics, not hope.