ENTERPRISE AI DEPLOYMENT & ENGINEERING

We make AI
work inside
your business.

Our engineers become your in-house AI team.We build and deploy custom AI systems for enterprises to improve sales, serve customers faster, and cut manual work. We connect the AI to your software, train your people, and keep it running.

How we work
01 / WORKING WITH YOUR TEAM

Your business.
Our engineers.

Your people.
Your software.
Your business goals.

Orange architectural structure assembled from individual precision blocks
02 / FROM BUILD TO DAILY USE

We build it.
We help you use it.

Build and integrate.
Train your people.
Support and improve.

BUILT FROM WITHIN.
More sales. Faster customer service. Less manual work.

SELECTED CLIENTS

Companies we work with.

FROM YOUR BUSINESS PROBLEM TO WORKING AI

BUILT FROM WITHIN / 02

AI, at work.

Built into your systems.
Used by your people.

SCROLL TO TAKE SHAPE
Explore the work

WHAT AI CAN DO FOR YOUR BUSINESS

Where AI can
help your business.

Follow up with leads, answer customer questions, find information across your business, and automate repetitive tasks. We build the AI around the work you need done.

SALES & CUSTOMER SERVICE01—03

Follow up with leads.
Help customers faster.

Build AI that answers customer questions, follows up with leads, and updates your customer records (CRM). Complex requests reach your team with the conversation and relevant details attached.

Explore sales & customer service
WHAT WE BUILD

Custom AI systems / Software integrations / Private AI / Ongoing support

WHY CHOOSE RAVAN

ONE TEAM / 03

Our engineers.
Part of your team.

You get a dedicated AI engineering team, from the first build to daily use. Our forward-deployed engineers (FDEs) work alongside your staff, connect your existing software, and stay involved to improve the results.

YOUR PEOPLE

Business knowledge.
Priorities and decisions.
Feedback from daily use.

RAVAN ENGINEERS

AI development.
Software integration.
Training and support.

ONE TEAM. ONE DELIVERY PLAN.
01 / EMBED

Built around your business.

We talk to the people doing the work, understand your systems, and agree on the problem to solve.

02 / OWN

One team responsible.

A named engineering lead takes responsibility for the build, integrations, testing, and launch.

03 / STAY

Support after launch.

We train your team, monitor how the AI performs, and improve it as your business needs change.

YOUR IN-HOUSE AI TEAM, WITHOUT BUILDING ONE FROM SCRATCH.See how we begin

DEPLOYMENT, ON YOUR TERMS

DESIGNED TO FIT / 04

Your cloud.
Your servers.
AI that fits.

We can deploy AI in your private cloud, on your own servers, or across both. Your IT team helps define where data stays, who gets access, and what the AI is allowed to do.

Run AI in your company’s cloud environment, with access and data connections approved by your IT team.

REFERENCE ARCHITECTUREPRIVATE CLOUD
04Your daily workflowsAPPLICATIONS · ACTIONS
03AI models and testingMODELS · EVALUATIONS
02Permission to actACCESS · APPROVALS · LOGS
01Your business contextDATA · SYSTEMS · KNOWLEDGE

Use your existing software.

Connect AI to your sales, finance, operations, and document systems. We agree which connections your project needs.

Control data and decisions.

Agree which data AI can access, which actions it can take, and when a person must approve the next step.

Plan for ongoing support.

Define who monitors the system, handles issues, and keeps it running after launch.

ADOPTION IS PART OF THE BUILD

MADE FOR EVERYDAY USE

AI your people
know how to use.

We involve your team while we build, put AI into the tools they already use, and train them on real tasks. Their feedback helps us improve the system.

How we train and support your team
NEW CAPABILITY. FAMILIAR GROUND.
01 / FAMILIAR

Keep familiar tools.

Build AI into the software your team uses every day. Design the steps with the people who will use them.

02 / UNDERSTANDABLE

Keep people in control.

Show where answers come from. Make it clear when to check a result, approve an action, or ask for help.

03 / ALWAYS LEARNING

Train, listen, improve.

Train your team using real examples. Watch where they get stuck and improve the system with their feedback.

BUSINESS OUTCOMES, BY DESIGN

More sales.
Less manual work.

We agree on what success means before we build: more sales, faster responses, lower costs, or fewer hours spent on manual tasks. Then we compare results with your starting point.

01Is work moving faster?
TIME & EFFORT

How long does each task take? How many hours of manual work does it save? How quickly do customers get a response?

02Are results more reliable?
QUALITY & CONTROL

Are answers accurate? Are requests completed correctly? How often does your team need to correct the AI or repeat the work?

03Are people using it?
ADOPTION & BUSINESS VALUE

Are your people using the AI in their daily work? Is it helping them improve the sales, service, or cost measure we agreed to track?

YOUR BASELINE YOUR OUTCOME OUR SHARED ROADMAP

Success measures are specific to your engagement.

A RAVAN PRODUCT
agni.
VOICE, CONNECTED TO THE WORK.CONCEPT FILM

TECHNOLOGY WE BUILD

Meet Agni.
AI for customer calls.

Agni is Ravan’s voice AI for customer calls in 100+ languages. Use it to answer questions, follow up with leads, and book appointments, with handoffs to your team when needed.

ConversationContextAction
Explore Agni

Voice AI is one part of what we build for your business.

A CLEAR WAY TO BEGIN

START FOCUSED. KEEP BUILDING.

BEFORE WE BUILD

Good questions.
Clear answers.

Ask us something else
What does “your in-house AI team” actually mean?

You work with a dedicated team from Ravan, without recruiting a new AI department. Our engineers build and connect the systems, train your users, and provide ongoing support. They remain Ravan engineers; the team, responsibilities, and support are agreed before work begins.

When do we need Ravan instead of a ready-made AI tool?

A ready-made tool may be enough for individual tasks. Ravan helps when AI needs to use your business data, connect several systems, follow your approval rules, or become part of how a whole team works. We agree what needs building and which existing tools to use.

Can you work with our existing technology team?

Yes. We work with your existing engineering, IT, security, and business teams. They set the requirements and standards; our engineers build and deploy the AI with them.

Can AI run in our own environment?

Yes. We can design for your private cloud, your own servers, or a combination of both. We review your data policies, infrastructure, AI requirements, and budget first, and explain any external services the system needs.

How do you decide whether it is working?

We record how the work performs today and agree on a target with you. That could mean faster customer responses, better sales follow-up, fewer errors, or less manual work. After launch, we check the results and whether your team is using the system.

How are timing and pricing agreed?

We first agree on the problem, the systems to connect, and the support you need. Your proposal sets out the team, delivery stages, timing, and price. Further work is planned with you as your needs grow.

LET’S TALK ABOUT YOUR BUSINESS

LET’S GET TO WORK.

What could
work better?

Tell us where you want to improve sales,
customer service, or everyday operations.

DEPLOYED. ADOPTED. IMPROVING.info@ravan.ai

LET’S PUT AI TO WORK

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AN EXTENSION OF YOUR TEAM

Your people know the business.
We build alongside them.

Ravan brings the AI engineering and implementation expertise. Your people bring the context. Together, we define the outcome, deploy the system, and make it part of daily work.

01

A shared definition of success

A specific task, a person responsible, and a result we can measure.

02

Engineers inside the work

Engineers who build the software, connect your systems, and test real tasks.

03

Ownership through adoption

Training, support, and improvements based on how your team uses the AI.

EMBEDDED, IN EVERY SENSE.

One idea.
Built three ways.

Earlier architectural studies