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AI-Native Technology Consulting

Let AI do
your follow-ups.while your team
focuses on what matters.

Decades of deep engineering experience. End-to-end AI systems built into how you already work.

80% task time reduction - in phases, starting within 30 days.
Book a Free Discovery CallSee how it works
80%
Average task time reduction across engagements
30d
First measurable outcomes delivered within 30 days
100%
Team adoption - built into tools your team already uses
0Downtime
Downtime. Phased rollout - your business never stops.
Taking on 3 new engagements this quarter - discovery calls open
Experience earned in complex environments
Northwestern MutualGeneral MotorsMUFGToyotaPepsiCoIBMMorgan Stanley

The problem

Your team is spending
most of their day on work
that shouldn't exist.

You know AI should be doing more of the heavy lifting. You've tried the tools. Your team isn't using them. The consultants came with a strategy - and left without building a single thing.

The problem isn't AI. It's that nothing has been built for how your business actually works.
01 - The Tools Problem
Every SaaS is built for everyone. Which means built for no one.

Your business has specific workflows, specific data, specific edge cases. Off-the-shelf AI adds a new interface on top of the ones your team already struggles to use. Adoption hits zero within weeks.

02 - The Direction Problem
Everyone's selling AI strategy. Nobody's building the system.

Traditional consultants hand you a 40-page deck and a roadmap you'll never execute. They don't know your stack, they won't touch your code. By Monday your team is back to doing the same work.

03 - The Market Problem
Mid-market has the most to gain from AI - and the least support.

Big enterprise has McKinsey. Small business has SaaS templates. You're in the middle - too specific for off-the-shelf, too smart to waste budget on shelfware. You need something engineered for your reality.

"The companies winning in five years won't use the most AI tools. They'll have built AI into how they actually operate."
That's the gap Upkram was built to close. We don't point you toward tools and leave. We get inside your business, find where AI belongs, and build the systems that run it - engineered into your existing workflow, measured by what changes in your numbers.

How we work

From discovery to
running systems
in 30 days.

Every engagement starts with understanding your business from the inside - your processes, your tools, your team. Then we build phase by phase, so you see real outcomes fast without betting the whole operation on a single rollout.
PHASE 01DiscoverDAYS 1-5INTERVIEWSPROCESS MAPSTRATEGYROI TARGETSPHASE 02BuildPHASED ROLLOUTAGENTSRAG + LLMPHASE 03EvolveONGOINGLEARNINGITERATIONCONTINUOUS LEARNING LOOP
Phase 01
Days 1 - 5

Discover

We get inside your business before writing a single line of code. Interviews, process mapping, and a phased AI strategy - delivered in 5 days.

Deep-dive interviews with your team
End-to-end process mapping
Prioritised opportunity identification
Phased AI strategy with clear ROI targets
Phase 02
Phased Rollout

Build

One workflow at a time. We engineer AI systems inside your existing tools - Gmail, Docs, your CRM. No new software. No disruption.

Custom AI agents, not off-the-shelf
Embedded into tools you already use
Deterministic pipelines where possible
Human approval on every AI output
Phase 03
Ongoing

Evolve

100% team adoption - because we never ask your team to change how they work. The system gets smarter with every single interaction.

User testing and rapid iteration
Learns from approvals and rejections
Continuous new data ingestion
Real-time integrations with live data

Work

Built, shipped,
measured.

intelliscape.ai logo
E2E Product Engineering - AI-First Workflow
Cognitive Health

Brain Compass

We replaced paper-based cognitive screening with an AI-first workflow: voice-guided steps for elderly patients and consistent, clinically defensible scoring for doctors.

View project
Thar Bionics logo
Product Engineering - Modernised Document Workflow
Medical Legal

Medulla

We rebuilt a trusted emergency documentation tool into a fast web + cloud platform, preserving doctor workflows while upgrading speed, clarity, and security.

View project
B2Y logo
Product Engineering - E2E Guided Neuro Care Platform
Neurological Health

Back to You (B2Y)

We built an AI-first platform that takes people from concern to care: guided risk assessment, recommendations, booking and payments—delivered with WhatsApp parity.

View project

Engineering depth

We don't advise on tech.
We build it.

AI & Agents

LLM Fine-tuningRAG PipelinesAgent OrchestrationGuardrailsOpenAIAnthropicLlamaLangChainVector DBs

Cloud & Infrastructure

AWSGCPAzureKubernetesDockerTerraformMicroservicesServerless

Engineering

PythonJavaNode.jsReactFastAPIREST / GraphQLPostgreSQLRedis

Security & Compliance

HIPAASOC 2On-Prem AIData GovernanceEncryptionAccess ControlAudit Logs

Data & Analytics

Data PipelinesETLKafkaSparkSnowflakeBigQuerydbtAirflow

Integrations

Google WorkspaceMicrosoft 365SalesforceHubSpotSlackEHR SystemsBrowser AgentsCustom APIs

MLOps & Deployment

Model DeploymentHybrid CloudCI/CDMonitoringA/B TestingModel VersioningRollbacks

Workflow Integration

Zero New ToolsExisting UIGmail AgentsDocs AgentsCRM AgentsVoice AgentsWeb Scrapers

The team

Builders who've been on
both sides of the table.

Vaarun Sinha
Vaarun Sinha
AI & Product Engineering

A serial builder with multiple startups shipped and deep, hands-on AI and agent engineering experience. Has seen the gap firsthand - mid-market companies with real AI budgets and no trusted partner to actually build what they need. Combines startup execution speed with production-grade engineering standards.

AI AgentsLLM EngineeringStartupsFull StackProduct
Vinod Sharma
Vinod Sharma
Enterprise Architecture & Cloud

30+ years inside the world's most demanding technology environments - IBM, Morgan Stanley, PepsiCo, Northwestern Mutual, Bank of Tokyo Mitsubishi. Knows what breaks at scale, what decisions age badly, and what it takes to build systems that last. Brings enterprise-grade architecture thinking to every engagement.

IBMMorgan StanleyCloud ArchitectureEnterprise Systems30+ Years

Our guarantee

You don't commit until
you've seen it work.

Proof of concept first. Payment later.

Every engagement starts with a focused proof of concept - we take one real problem from your business and solve it. If you're not satisfied, we return the consulting fee. No conditions. No questions.

You see real results before committing to a full engagement
Unsatisfied with the POC? Full refund, no questions asked
Phased rollout - you control the pace and the risk
First outcomes visible within 30 days of engagement start

We don't give you a deck and disappear.

We're engineers. We stay in the build until the system is running, adopted, and improving. Strategy without execution is just a slide.

Your data stays yours, always.

All data governed in-house. Hybrid architecture - your sensitive information never leaves your control, even when runtime is in the cloud.

No adoption risk.

We build into tools your team already uses. If they use Gmail, the AI agent uses Gmail. Zero new software. Zero resistance to change.

Ready to see what AI
can take off
your plate?

We're taking on three new engagements this quarter. Book a free 30-minute discovery call. We'll identify one process in your business that AI should already be running - and show you exactly how we'd build it.

Free 30-min discovery call

We map one process and show you the opportunity

Proof of concept first

We solve one real problem before you commit

Satisfaction guaranteed

Not satisfied with the POC? Full refund, no questions

Book Your Free Discovery Call