Now live — presales.ai is in production

AI systems built
for production,
not presentations.

We design, engineer, and ship AI automation workflows, RAG knowledge assistants, Agent Employees, and custom agents for B2B companies — using the same standards we apply to our own products.

12+Systems shipped
Faster delivery
1Live product (presales.ai)
ZYNETRA Knowledge Assistant
Active
JD
What was our Q3 churn rate and which segments had the highest drop-off?
Q3 overall churn: 3.2% — down from 4.1% in Q2.

Highest drop-off:
· SMB (<50 seats): 6.8%
· Trial-to-paid: 41% of churned
· Enterprise (>500 seats): 0.9%
📄 Q3_report.pdf📊 CRM_export📈 Mixpanel
JD
What actions did we take to reduce SMB churn?
Ask about your business data...
AI Resolution Rate
87%
↑ No escalation needed
What we build

Every layer of your AI stack,
engineered to ship.

From raw data pipelines to autonomous Agent Employees — we design and deliver complete AI systems, not demos that die in staging.

⚙️
Cut manual ops by 70%+

AI Automation & Workflows

End-to-end automation of repetitive processes — document extraction, approval chains, multi-system triggers, and scheduled data jobs. Built to run reliably, not just demo well.

n8nLangChainFastAPI
Explore automation →
📚
87% resolved without escalation

RAG Knowledge Assistants

Query your internal documents, policies, CRM data, and operational knowledge — and get accurate, cited answers instantly. Not a chatbot. A trusted knowledge layer.

PineconepgvectorClaude
See RAG in action →
🤖
Autonomous multi-step actions

Custom AI Agents

Goal-directed agents that take actions across your tools — CRM updates, outreach drafts, research, scheduling. Built with guardrails that hold in production.

LangGraphCrewAIFunction Calling
Explore agents →
🔌
The pipes that make AI reliable

Data & Integrations

ETL pipelines, vector store setup, CRM/ERP connectors, and data cleaning layers. AI is only as good as the data it runs on — we build the foundation right.

SupabasedbtAirbyte
See integrations →
🗺️
Ship faster with less risk

Advisory & Architecture

We map your systems, identify high-leverage AI opportunities, and design an architecture your team can execute on and maintain — without a PoC graveyard.

Work with us →
Agent Employees

Meet your new team members.

We don't just build AI tools — we onboard AI employees. Digital workers with a defined role, responsibilities, and performance metrics. Same process as hiring. Minus the salary.

Online · 24/7
A
ARIA
Sales Development Agent
Responsibilities
Lead qualification & scoring
Personalized outreach drafts
CRM enrichment & updates
Meeting prep briefs
2-week onboard$0 / hr
Connects to: CRM · Email · LinkedIn · Docs
Hire ARIA
Online · 24/7
M
MAX
Operations Agent
Responsibilities
Invoice processing & routing
Automated reporting & alerts
Workflow exception handling
Data reconciliation
2-week onboard$0 / hr
Connects to: ERP · Slack · Spreadsheets · DB
Hire MAX
Online · 24/7
D
DANA
Customer Support Agent
Responsibilities
Tier-1 ticket resolution
Knowledge base Q&A
Escalation triage & routing
Customer follow-up drafts
2-week onboard$0 / hr
Connects to: Zendesk · Intercom · Docs · CRM
Hire DANA
📄
Knowledge Sources
PDFs · Docs · CRM · Wikis · Databases
Chunking + Embedding
Text split, vectorized, indexed
Vector Store
👤
User Query
Natural language question
🔍
Semantic Retrieval
Top-K relevant chunks fetched + reranked
🧠
LLM Generation
Context-grounded answer drafted
Cited Answer Delivered
Response with source citations — no hallucination without evidence
RAG Systems

Turn your documents into a reliable knowledge layer.

Stop making your team search folders, wikis, and PDFs. We build RAG systems that retrieve the right context and generate accurate, cited answers — every time.

💬

Customer Support Copilot

Agents get instant answers from product docs, policies, and past tickets.

↑ 87% Tier-1 resolution without escalation
⚖️

Internal Policy & Ops Q&A

HR, legal, and ops questions answered instantly from SOPs and contracts.

↓ 60% reduction in internal back-and-forth
🎯

Sales & Presales Intelligence

Reps ask questions about prospects, competitors, and products instantly.

↓ From 3 hours to 8 minutes per deal brief
See RAG in action →
Our own product — live in production

We built presales.ai.
We can build yours.

presales.ai cuts the time presales engineers spend on RFPs, custom demos, and proposals — from days to minutes. Built from zero to production using the exact systems we build for clients.

3 hrs → 8 min
Time per deal brief
RAG + Agents
Core architecture
6 weeks
Zero to launch
Live
Status — production now
Deal Briefs
RFP Drafts
Battle Cards
✦ AI Active
AccountStageAI ScoreStatus
Acme CorpTechnical Eval● 94✦ Ready
RetailCoDiscovery● 88✦ Ready
TechScalePOC● 71✦ Draft
MedFlow IncProposal● 91✦ Ready
CloudOps LtdTechnical Eval● 83✦ Ready
Results

Shipped. Measured. Repeatable.

Real projects, real outcomes. We don't publish case studies until the system is running in production and the numbers are in.

SaaS · Support
AI Resolution Rate88%
Escalations Reduced↓ 40%
SaaS · Customer Support

RAG Support Copilot for 150-person SaaS company

Support team drowning in Tier-1 tickets requiring manual lookup across 3 systems. Built a RAG assistant querying docs, past tickets, and changelog in real time.

✓ 88% Tier-1 resolved by AI · 40% fewer escalations
Finance · Ops
Manual Work Eliminated75%
Processing Speed3× faster
Finance · Operations

Invoice Automation Pipeline for Fintech Ops

Finance ops spent 20+ hrs/week manually extracting and routing invoice data from PDFs across vendors. Replaced with an AI extraction and routing pipeline.

✓ 75% manual work eliminated · 3× speed
Sales · presales.ai
Time Saved Per Deal95%
Rep Adoption Rate80%+
SaaS · Sales Intelligence

presales.ai — Our Own AI Presales Platform

Built from zero — an AI agent pulling CRM data, product docs, and competitive intel to generate tailored deal briefs and RFP responses in minutes.

✓ 3 hrs → 8 min per brief · 80%+ adoption
How we work

From first call to production in weeks, not quarters.

Every engagement follows the same three phases. No surprises, no scope creep — just a working system at the end.

1
Days 1–3

Discover

We map your current systems, data flows, and manual processes. We find where AI creates the highest leverage — and where it doesn't.

  • System & workflow map
  • Problem brief with prioritized opportunities
  • Feasibility assessment
  • Rough effort and cost estimate
2
Week 1–2

Design

Architecture docs, RAG/agent design, UX flows, and a working proof-of-concept. You test the system before we build the full version.

  • Architecture diagram
  • Working PoC / prototype
  • Data flow & integration spec
  • Tech stack decision with rationale
3
Week 2–6+

Deploy

We build, test, and ship to production. Then we monitor, measure, and iterate — because a system only counts when it's running reliably in the real world.

  • Production-ready system
  • Documentation & handoff
  • Monitoring & alerting setup
  • Iteration sprints (ongoing)

Ready to ship your
first serious AI system?

20 minutes. No pitch deck. Just a direct conversation about what you're building and whether we can help.

Or fill in the form below and we'll reply within one business day.