01
AI-first.
Every system starts as AI-native, not AI-added. The model isn't a feature bolted onto a CRUD app after the fact. It's part of the architecture from the first design decision.
brixloop / services
AI-native. Systems-first.Design-led. Research-backed.
We don't build apps with AI features bolted on. We build systems that are AI-native from the architecture up, engineered to optimize the workflow they sit inside, not just automate one step of it. Every build carries the same design conviction as a standalone product, and every system is informed by a standing research lab, not just whatever the model provider shipped last week.
01 / Studio
What is Brixloop?
A small, technical studio that builds AI-native products for startups and growth-stage companies, and runs an in-house research lab alongside client work, not instead of it.
Most AI agencies are one of two things: a dev shop that ships whatever's in the spec and moves on, or a wrapper around someone else's API with no engineering depth underneath. We're neither. Every client engagement is fixed-scope and fixed-price, built by the same people who've spent time on harder research problems (legal clause classification, regime-adaptive trading strategies, medical image classification, network intrusion detection), not because a client asked, but because that discipline is what makes the client work good.
02 / Concept
The concept
Four things, one team.
02
Systems, not apps.
We don't ship standalone software. We ship systems that optimize the process they sit inside: ingestion, decisioning, output, feedback loop. An app does a task. A system improves the workflow around it.
03
Design-first.
Design isn't a skin applied at the end. Conviction on how something looks and feels ships with the same rigor as the backend, because a system nobody wants to use is a system that doesn't work.
04
A standing research lab.
Client work is built by the same team running independent research (legal clause classification, quant equity strategy, medical imaging, network intrusion detection), published honestly, wins and failures both. That discipline shows up in every client system, not just in a lab notebook.
03 / Position
Why there's almost no one doing exactly this
01
Large agencies and dev shops.
Optimized for delivery volume and billable hours, not technical depth. Spec comes in, code goes out, no one on the team is still thinking about your problem after the invoice clears.
02
Freelance AI wrapper builders.
A thin interface over someone else's API, shipped fast, with no engineering discipline underneath: no concurrency handling, no evals, no plan for what happens when the model changes or traffic spikes.
03
Solo research projects.
Strong ideas, real rigor, but they stay in a notebook. The gap between "the model works" and "this is running in production for a paying user" is exactly where most research-first teams stop.
We sit in the middle: research discipline applied to things that actually ship, design conviction included, at a fixed price and a fixed timeline.
04 / Capabilities
Service areas
One focused capability cluster per engagement. Clear scope, clear timeline, clear ownership.
01
Tech Consultancy & Systems
Generative AI pipelines, automation, and platform engineering. Positioned as systems, not point solutions.
Best forOperations-heavy businesses, EdTech and media platforms, real estate and enterprise operations
- Bulk generative media pipelines (video, audio, image) with system-level orchestration
- Document processing and approval automation
- Data extraction and enrichment pipelines
- Enterprise platforms, ERP, multi-role admin, CRM and workflow integrations
02
AI SaaS Products
Full-stack AI-native product builds. Zero to one.
Best forSeed/Series A startups, technical founders, validated product ideas
- Contract intelligence platforms
- Document AI tools
- AI-powered dashboards and analytics
- LLM-integrated B2B SaaS
Shipped proof
03
AI Research & Engineering
Independent research that feeds directly back into client systems.
Best forTeams that need more than an API wrapper, real model work, evaluated and documented
- Domain-specific model fine-tuning (e.g. legal, medical classification)
- Quant and time-series research
- Applied ML for security and detection systems
- Published methodology, including negative results
04
Design
Brand identity and design systems for founders who need visual conviction, not just a logo.
Best forReal estate brands, healthcare and wellness businesses, media companies, software startups
- Brand identity systems, logo, color, typography, and usage guidelines
- Real estate brand kits, built for listings, marketing collateral, and agent-facing materials
- Healthcare and wellness brand identity
- Software/SaaS brand systems, built to extend cleanly into product UI
Shipped proof
05 / Markets
Industries we've worked in
LegalFintechTravel & HospitalityReal EstateMedia & ContentCreator OperationsHealthcareCybersecurityQuant FinanceIndustrial OperationsProductivity ToolingWorkflow Automation
06 / Together
Together
17+
AI systems
Designed and built, across client engagements and in-house products.
10+
Brand identity kits
Delivered across real estate, healthcare, media, and software.
4
Research-lab systems
Legal clause classification, quant equity research, medical imaging, network intrusion detection.
12
Industries served
From legal tech to creator operations.
07 / Engage
Engagement model
Every build is fixed-scope and fixed-price. No hourly billing during the build phase. You know the cost and timeline before we start.
Once a system ships, most clients move to a monthly maintenance retainer. We built it, we know it best, and AI systems specifically need upkeep most software doesn't: model updates, prompt/eval drift, provider API changes, usage scaling. The retainer isn't a lock-in tactic. It's the honest cost of keeping an AI-native system healthy after launch.
Brand Design
Brand identity / visual design
1+ week
₹50,000+
Details
AI MVP Build
Core AI system + dashboard
2+ weeks
₹2,00,000+
Details
Full Product Build
Full-stack AI SaaS product
3+ weeks
₹3,00,000+
Details
Enterprise Platform
ERP / complex data platform
4+ weeks
₹5,00,000+
Details
Custom / Other
When the brief does not fit a standard path
Scoped
Quoted
Details
Maintenance
Post-launch support, model updates, ongoing features
Monthly
Quoted monthly
Details
Payment terms
50% upfront, 30% at milestone, 20% on delivery.
- 01
50%
Upfront
Due to start the build
- 02
30%
Milestone
Due at the agreed mid-build checkpoint
- 03
20%
Delivery
Due on ship and handoff
Listed prices are starting points. Custom work is quoted after discovery. Final scope and pricing are confirmed after inquiry review.
Send project inquiry08 / Proof
Related case studies
See how these service areas translate into shipped products.
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Have questions before you inquire?
We put together 42 answers on pricing, timelines, tech, security, handoff, and whether your project is a good fit.