Problem Intelligence · Fintech & Financial Operations

We solve complex
business problems
with AI-native software.

Most firms sell AI features. We sell a deeper understanding of your business problem — then ship the AI-powered software that delivers a measurable outcome.

40+
Products shipped
8wk
Average MVP
85%
Repeat clients
12+
Enterprise teams
Across 40+ engagements with commerce, fintech & logistics leaders, 2019–2026.
Trusted by enterprise leaders in commerce, fintech & logistics
CommerceFintechLogisticsInsurtechRetailManufacturingGamingSaaSSupply ChainConsumer
CommerceFintechLogisticsInsurtechRetailManufacturingGamingSaaSSupply ChainConsumer
Problems we solve

You probably recognise
at least one of these.

We don’t lead with technology. We lead with the problem — because that’s what you actually feel the cost of every day.

Manual operations eating margin
Reconciliation, data entry, and back-office work that scales linearly with headcount. The cost compounds every quarter.
Legacy systems that won’t talk
A dozen disconnected tools, brittle integrations, and data trapped in silos. Every new feature fights the architecture.
Customer support that can’t keep up
Ticket volume rising faster than the team. Response times slipping. Cost per resolution heading the wrong way.
Knowledge locked in people’s heads
Critical know-how that walks out the door at 6pm. New hires take months to ramp. Answers are slow to find.
Compliance & fraud ops at scale
KYC/AML reviews, fraud detection, and audit trails done manually. Regulatory risk rising with every transaction.
“We need AI — but where?”
Pressure to adopt AI, but no clear map of where it actually pays off. Pilots that never reach production.
Why this moment matters

Everyone has the same models.
Understanding the problem
is the only moat left.

Commoditised

The tools

Every company has Claude. Every company has GPT. Every company has Cursor. The models, frameworks, and tooling are available to everyone at the same price. None of it is a differentiator any more — and the gap is closing further every month.

Scarce

The understanding

What stays scarce is genuine understanding of operations, product, user behaviour, and business constraints. It cannot be downloaded. It deepens with every engagement. It is the one thing that lets you build the right thing — not just build fast.

That is what Flipr sells. Not AI capabilities — a deeper grasp of your business problem, and the software that solves it.
The defensible middle

Why us,
not them.

Every buyer has alternatives. Flipr occupies a deliberate gap: more senior than a commodity agency, faster and far cheaper than a global consultancy, and more tailored than off-the-shelf software.

The alternativeWhere they winWhere they fall shortFlipr’s wedge
Generic AI agenciesCheap, fast, plentifulCommoditised — ship features, not outcomesOutcome accountability + domain depth
Big consultanciesTrust, brand, C-suite accessExpensive, slow, thin on shipping codeSenior thinking that also ships, at a fraction of the cost
In-house buildFull control, IP retentionSlow to hire; AI talent scarce and costlySpeed to value; a ready, specialised team
Off-the-shelf AI productsLow cost, instantGeneric — ignore your specific workflowBespoke fit to the actual business problem
The middle is narrow — which is exactly what makes it defensible.
What we build

Four capabilities.
One standard.

Full capabilities →
AI Products & Agents

Build AI-native applications from idea to production. Agentic systems that plan, reason, and execute.

Agentic workflows and copilots
RAG over enterprise data
AI evaluation frameworks
→ 8-week MVP timelines
RAG & Knowledge Systems

Enterprise retrieval with observability, evals, and production reliability. Not naive RAG — engineered RAG.

Hybrid search + re-ranking
pgvector, Pinecone, Weaviate
Latency & accuracy benchmarking
→ Production-ready in 6 weeks
SaaS Platforms

End-to-end product engineering. Multi-tenant architecture, auth, billing, and APIs built for growth from day one.

Next.js, React, React Native
Node.js, Python, PostgreSQL
Multi-tenant enterprise systems
→ 70 widgets in 16 weeks (insurtech)
Scale Engineering

Hardening systems post-PMF. Architecture review, performance, DevOps — without rebuilding from scratch.

Architecture hardening
Database performance & caching
CI/CD and infrastructure as code
→ Enterprise-grade reliability
Selected work

Proof, not
promises.

All case studies →
Global E-Commerce
AI · Operations
Problem
Bag losses across fulfilment centres were unmeasured. No system existed to track handoffs at scale.
95%
reduction in bag loss
24 weeks
E-Commerce Platform
Scale
Problem
Pallet mapping across 15 facilities was manual and unable to handle peak commerce volumes.
10k
scans/day at 15 facilities
36 weeks
Full case study on request →
Fashion Retail
Operations
Problem
Asset tracking was fragmented — unquantified monthly losses and no accountability chain.
70%
reduction in goods loss
18 weeks
Full case study on request →
Where we go deep

Fintech &
financial
operations.

Depth beats breadth. We focus where the back-office pain is acute, quantifiable, and repeatable — so every engagement compounds into sharper expertise and reusable systems.

We take selective work in logistics, retail, and insurance — but fintech is where we’re building the deepest moat.

Reconciliation
Automating the matching, exception handling, and audit trails that eat back-office hours.
KYC / AML
AI-assisted identity verification and anti-money-laundering review at scale, with compliance built in.
Support operations
Copilots and agents that cut resolution time and cost without cutting quality.
Fraud operations
Real-time detection and case management that catches more, faster, with fewer false positives.
We’ve shipped 40+ products.
Not one was late.
Flipr delivery record · 2019–2026
How we engage

A ladder, not
a blank cheque.

Every engagement is a sequence of fixed-scope stages. Each delivers value, each qualifies the next, and the work is priced on the outcome — never by the hour.

01
Discovery Sprint
~$10–20k · fixed
Diagnose the problem, map the current architecture, define the ROI. You leave with a roadmap whether or not we build it.
02
Prototype Sprint
~$25–50k · fixed
Prove the concept with a working prototype. De-risk the build before committing to production scope.
03
Production Build
~$120–250k · scoped
Ship the real, production-grade system. Architected to scale, documented to hand off, built to last.
04
AI Optimisation
~$6–12k / mo · retainer
Tune cost, accuracy, and performance in production. Continuous evals keep the system sharp as data shifts.
05
Managed AI Platform
~$8k+ / mo · recurring
We operate, monitor, and iterate the system so your team can focus on the business, not the infrastructure.
Illustrative price anchors — every engagement is scoped to your specific problem. Value-based, never cost-plus.
Diagnose, don’t pitch

The Problem
Discovery
Workshop.

Before any contract is discussed, we run a free, structured 90-minute session. You leave with genuine value — whether or not we ever work together.

Free
No commitment
90 min
Structured session
Consultative
By design
Book a Discovery Workshop  →
What you walk away with
A current-architecture map
How your systems actually fit together today
Your bottlenecks, named
Where time and money are actually leaking
AI opportunities, prioritised
Where AI genuinely pays off — and where it doesn’t
A first ROI view
The business case, in rough numbers
A roadmap
The path forward, yours to keep
Who we work with

Built for
the right fit.

Built for
Startups building AI-first products
Seed to Series C — shipping without a full internal team.
Growth-stage SaaS companies
Scaling product or adding AI to an existing platform.
Enterprises modernising with AI
Agentic systems, RAG, copilots in existing workflows.
Teams that value senior execution
Outcome-obsessed buyers who care about what ships.
Not ideal for
Staff augmentation
We don’t rent engineers by the hour or fill roster gaps.
Maintenance-only work
Our model is built around problem-solving and ownership.
Pure UI/UX without engineering
We ship end-to-end or not at all.
Lowest-rate procurement
Optimising for hourly rate won’t find the right value here.
By the numbers
40+
Products shipped to production
8 wks
Average time-to-MVP
85%
Client return rate
12+
Enterprise clients served
Start now

Start with the
problem.
Not the pitch.

Book a free 90-minute Discovery Workshop. We’ll map your problem, find where AI actually pays off, and give you a roadmap — whether or not we work together.

Startups · Scale-ups · Enterprises · Bengaluru