AI products & engineering

AI in production.Not in demos.

StriveSteam builds AI products and ships AI-native engineering for enterprises, from federated data intelligence to production agent infrastructure.

Which region drove last quarter's revenue growth?

QueriedPostgresSnowflakeDocsSlackevery step traced
10+
Projects delivered
11
Satisfied clients
15
Engineers & specialists
24×7
Support coverage

Services for every layer of the stack.

All services

Industries where we deliver.

Different domains, same pattern: manual workflows, disconnected data, and decisions that wait. That is where AI pays back.

Fintech & Banking

Fraud detection, document processing, compliance automation

Retail & E-commerce

Demand forecasting, catalog automation, support at scale

Logistics & Supply Chain

Route intelligence, real-time tracking analytics, exception handling

Healthcare

Records digitization, appointment workflows, IoT monitoring

Manufacturing

Production analytics, predictive maintenance, vendor management

Education & Training

Learning platforms, admissions automation, student analytics

How we work: first conversation to running software.

Phase 1

Discover

We map your workflows, data, and constraints, then identify where AI genuinely pays back, and where it doesn't yet.

Phase 2

Build

Small senior teams ship in weekly increments. You see working software from the first sprint, not a deck at the end.

Phase 3

Run

We operate what we ship, monitoring, evaluation loops, and iteration, until your team is ready to own it, or forever.

Let's solve your pain point.

Somewhere in your week there is a workflow everyone dreads: copied spreadsheets, chased approvals, reports built by hand. Explain that workflow to us, and we will automate it efficiently.

Describe your workflow
  1. 1

    You explain the workflow

    In plain words, on a 30-minute call. No specs or diagrams needed.

  2. 2

    We map the automation

    You get a short plan: what gets automated, what stays human, and what it costs.

  3. 3

    It runs in production

    We build it, instrument it, and hand you a dashboard that shows the hours saved.

Why teams choose StriveSteam.

We run our own products

OmniQuery, Agent Dot, and People Platform are live systems we operate daily. The practices we sell are the ones we depend on ourselves.

Honest about where AI helps

Discovery comes before any build, and sometimes the answer is that AI is not ready for your problem yet. You hear that from us, not from a failed project.

Strategy to operations, one team

Roadmap, build, deployment, and 24×7 support under one roof. No hand-offs between vendors, no gaps where accountability disappears.

Measured, not promised

Everything we ship is instrumented. Hours saved, error rates, cycle times: the return shows up on a dashboard you can check any day.

Built on a modern stack.

AI & models

OpenAIAnthropic ClaudeGoogle GeminiOllamaAWS BedrockLangChainVector search

Data

PostgreSQLMongoDBMySQLSnowflakeBigQueryRedisKafka

Cloud & DevOps

AWSAzureGoogle CloudDockerKubernetesTerraformCI/CD

Engineering

TypeScriptNext.jsReactReact NativeNode.jsPythonGo

Frequently asked questions.

What does StriveSteam do?

StriveSteam is an AI products and engineering company based in Bhubaneswar, India. We build our own products (OmniQuery, Agent Dot, and People Platform) and deliver AI strategy, intelligent automation, custom software development, data platforms, cloud infrastructure, and AI-driven security for clients worldwide.

Which industries do you work with?

We work across fintech, retail and e-commerce, logistics, healthcare, manufacturing, and education. The common thread is operational workflows that involve repetitive manual work, disconnected data, or slow decision cycles. Those are the problems AI and automation solve well.

Can you automate our workflow without replacing our existing tools?

Yes, and that is usually the right approach. Most of our automation work connects the systems you already run: your ERP, spreadsheets, email, CRM, and databases. We add the automation layer on top, so your team keeps familiar tools while the repetitive work disappears.

How does a project start, and how long does it take?

Every engagement starts with a conversation with an engineer, followed by a short discovery phase of two to four weeks. You get a costed plan before any build begins. Focused automations often ship in weeks; larger platforms are delivered in weekly increments so you see working software from the first sprint.

Do you work with startups or only enterprises?

Both. Enterprises typically engage us for AI strategy, data platforms, and managed teams. Startups come to us for product engineering and AI features they need built quickly and correctly. We size the team and process to fit the client.

Will AI actually pay back for our business?

Sometimes the honest answer is not yet, and we will tell you that. Our discovery phase evaluates your data and workflows first, then ranks candidate initiatives by return and feasibility. We instrument everything we ship, so the payback is a number on a dashboard rather than a promise in a proposal.

Where are you located, and can you work with remote teams?

We are headquartered at DLF Cybercity, Infocity, Bhubaneswar, Odisha, India, and we work with clients across India and internationally. Our teams are experienced with remote delivery, and our support operations run around the clock.

Tell us what's slowing your business down.

A 30-minute conversation with an engineer, not a salesperson. We'll tell you honestly whether AI can help.

Start the conversation