Who owns the code and data?

You do. Code, prompts, evaluation sets and data stay in your accounts. If you part ways with Droidor, everything keeps running.

How does outcome-based pricing work?

No upfront fee. Droidor picks one number you already report, agrees the baseline and target with you, and the fee is tied to moving that number.

Where is our data processed?

In your cloud tenancy or on-premise, with self-hosted models where policy requires. Permissions are enforced per user and every answer is logged with its source.

For founders & operators at startups and SMEs

Scale the company. Not the payroll.

We build and run AI agents that take your tickets, calls, follow-ups and paperwork. Your people approve what matters. You own the code.

Book a 30-min scoping call Watch an agent work ↓

No upfront · outcome-based pricing·Production software since 2017·USA · UAE · Pakistan

See it in

Inboxlive · all channels

chatemailphoneback office

Accounts inboxLinen invoice doesn’t match PO 4471 — Supplier invoice differs from purchase order by $312

✓ Routed to finance · 2.1s

Leena @ Acme CorpGroup rate for 14 rooms, 3 nights — Offsite in November, can you do 18% off?…

✓ Approved by Sara

Omar K.Can I move my flight to Friday? — WhatsApp · booking DXB–LHR, ref 7QX2LM

✓ Rebooked · link paid

+971 50 412…Table for six tomorrow around eight — Inbound call · transcribed live

✓ Booked · 34s call

Accounts inbox

Linen invoice doesn’t match PO 4471

Supplier invoice differs from purchase order by $312

Agent reasoning

01Matched 11 of 12 line items

02Variance: delivery billed twice ($312)

03Flagged to finance with both documents attached

Outcome

✓ Routed to finance · 2.1s

every step logged with its source

A simulation of a real Droidor deployment. Names and numbers are illustrative.

How it works

Agents are cheap. Trusting them isn't. So a person approves.

Request arrives

Chat, email, a phone call, or a document in the back office.

Company brain answers

Your policies, prices and history — with the source cited.

Agent acts

Replies, books, refunds, updates the CRM. The task gets finished.

A person approves

Anything over the limits you set goes to your approval seat.

It learns

Every approval teaches it. Fewer cases need you each month.

What we build

Three things. Usually in this order.

Company brain

Everything your business knows — documents and databases — answerable with sources. Built to get the exceptions right.

Every answer citedor it says “I don't know” and asks a person

AI agents

Support, sales admin, onboarding, finance ops. Agents that finish the task, with an approval seat for what matters.

Live in 2–4 weekson your data, with your people approving

Voice AI

Inbound and outbound calls in the caller's language. Warm transfer to a person with the context attached.

Every call answered24/7, English, Arabic, Urdu and more

How the brain gets built

Connect what you already use. Nothing gets through without the guardrails.

We connect through each tool's API, through MCP where the vendor supports it, and through legacy connectors — SFTP, ODBC, email — where they don't. Every read and write passes our guardrail layer, inside your cloud.

API & directMCPLegacy connector9 sources connected · hover one to trace it

SourceSalesforceAPI · OAuth

What we readAccounts, opportunities, cases

Guardrails appliedEach user sees only what Salesforce lets them see

Where it ends upKnowledge graph — accounts linked to contracts and cases. Record updates go through the approval seat.

Ask your data

Ask a question. Get the answer, not a dashboard.

Connect your database, Stripe or spreadsheets. Ask in plain English — the agent writes the query, runs it, and explains what it found. No analyst queue, no SQL.

Read-only access·Every query shown·Your permissions apply

Data agentconnected · Postgres · Stripe · Sheets

Which customers churned last quarter, and why?

Query · read-only

SELECT plan, cancel_reason, COUNT(*) AS customers
FROM subscriptions
WHERE cancelled_at BETWEEN '2026-04-01' AND '2026-06-30'
GROUP BY plan, cancel_reason
ORDER BY customers DESC LIMIT 3;

Result · 12,480 subscriptions scanned

PlanReasonCustomers

StarterToo expensive41

StarterMissing integration18

GrowthSwitched tool9

Answer

68 customers churned in Q2, and 87% were on Starter. Price is the top reason (41), then a missing integration (18). Most left within their first 60 days.

Case study · voice AI for restaurants

An AI host that answers every restaurant call

Restaurants miss the most calls at the busiest hour — exactly when guests want to book. Our voice AI answers every call, takes bookings and orders in the caller's language, and hands anything unusual to staff with the context attached.

Read the case study →

74%of calls handled without staff picking up

136bookings taken by voice per venue, per month

11 hrsof staff phone time returned per month

Kent KhoCEO, Planet Kuching · client since 2016

Why our agents stay up: we've built and run production software since 2017 — marketplaces, apps and platforms for hospitality, travel and commerce clients, some of whom have been with us for ten years.

How we engage

No upfront. Outcome-based pricing.

We pick one number you already report — tickets closed, calls answered, hours on admin. We agree the baseline and the target. Our fee is tied to moving it. If it doesn't move, you don't pay for it.

Book a 30-min scoping call

01
Scoping call · 30 min, free
Where the hours go, and whether an agent is even the right answer.
02
Proof of value · 2–4 weeks
One narrow workflow, live on your data, measured on the agreed number.
03
Production
Hardened, monitored, connected to your tools. Your people in the approval seat.
04
Run & improve
We run it and report the number monthly. Then the next workflow.

Why we work this way

“Start with a narrow proof, not a twelve-month transformation. We own the accuracy of what we ship — and we'll tell you when a rules engine would beat an agent.”

Wasiq GhaznaviCEO, Droidor · email me directly

Before you book

The questions that matter

Full FAQ →

Who owns the code and the data?

You do. Code, prompts, test sets and data live in your accounts. If we part ways, everything keeps running.

When do you say no?

When a rules engine, a form or a better process would beat an agent — or when the data you'd need doesn't exist yet. We'd rather lose the project than sell you the wrong one.

Where does our data go?

Your cloud or on-premise, with self-hosted models where policy requires. Permissions per user, every answer logged with its source.

What if the agent gets it wrong?

Anything above the limits you set goes to a person first. Mistakes get caught in the approval seat, not by your customers.

We're a 10-person startup. Is this for us?

Yes. Most of our clients are between 5 and 200 people. Smaller teams usually see the payoff fastest.

Book a free 30-minute call.

Tell us where your team loses the most time. You'll talk to someone who has built this before — and if AI isn't the right fix, we'll say so.

01We look at the work, the tools you use and where the hours go.

02You get a plain recommendation: what to automate first, and what to leave alone.

03If it makes sense, a written proposal within three working days — with the number we'd be measured on.

No upfront fee · No sales sequence · No 40-page questionnaire

Prefer to read first? Download the Droidor Storybook or our company profile (PDF).

For the technically curious

The terms behind the plain language

Human-in-the-loop (HITL) AI

Agents act within confidence and policy bounds; exceptions route to a human approval queue, and approvals become evaluation data.

Retrieval-augmented generation (RAG)

Answers grounded in passages retrieved from your documents at query time, with hybrid search, reranking and citations.

Knowledge graph

Accounts, plans, policies and dates modelled as relationships, so multi-hop questions and exceptions are answered by traversal.

Voice AI agent

Speech recognition, retrieval, tool calls and synthesis inside a sub-800ms budget, with barge-in and warm transfer.