The System
Most software companies have talented people. Some have good processes. Very few have a system where every project makes the next one better — structurally, not just through practice. We built that system.
Code Smriti
स्मृति — that which is remembered
Everything we've ever built is indexed, searchable, and retrievable. Not just code — the patterns. The soil sampling workflow we built for one client. The multi-tenant permission system we built for another. The geospatial processing pipeline we've refined across a dozen projects. None of it disappears into last quarter's git log.
When we start your project, we're not searching the internet for how to build a field boundary importer. We're retrieving the three times we've already built one, understanding what worked, and adapting the best version to your needs.
This is institutional memory, encoded in a database. It doesn't forget. It doesn't quit. It gets richer with every project. When a developer leaves a traditional team, their knowledge leaves with them. When a developer works within our system, their knowledge becomes permanent.
What Smriti indexes
100+ repositories of source code
Semantic summaries of every module
Cross-project pattern detection
Commit history and design decisions
Documentation and API contracts
44,000+ lines of technical docs
Code Akriti
आकृति — that which takes form
Good software doesn't come from talented people having good days. It comes from a system that produces good outcomes regardless of who's at the keyboard.
We've encoded our scoping, design, and quality process into a repeatable discipline. Every feature passes through a structured sequence that progressively eliminates ambiguity: understand the domain rules, map the users and their contexts, enumerate every state the system can be in, then compose and build against those constraints.
This isn't a checklist someone skips when they're in a hurry. It's woven into how we work with AI — the process itself is encoded in the prompts and workflows our team operates every day. What used to be "senior developer intuition" is now systematic, auditable, and consistent.
The result isn't slower development. It's faster development that produces complete software on the first pass. The constraints are in the tooling, not in the craftsman's memory.
What Akriti ensures
Domain rules captured before design
Every user path mapped with context
Exhaustive state enumeration
Reuse-first composition
Spec-complete before code begins
Consistent quality across the team
AgKit.io
The platform every project starts from
AgKit is not a product you install. It's a proven, battle-tested platform — backend, component library, domain modules — that we configure and extend for each client.
Multi-tenancy. Role-based access. Geospatial processing. Lab information management. Agronomic calculations. Document handling. API integrations. These aren't things we build from scratch for each project. They exist, they're tested, they work. Your project starts at 60–80% done on day one.
Seven years of agricultural technology, distilled into a platform that knows the domain. Not generic scaffolding — purpose-built infrastructure for the problems ag companies actually face.
What AgKit provides
Multi-tenant architecture
PostGIS geospatial engine
LIMS and sample management
Agronomic service modules
Private AI infrastructure
Component library with 86% test coverage
These three pieces don't just coexist. They compound.
Every project we build adds to Smriti. Smriti informs how Akriti scopes the next project. The scoped project extends AgKit. The improved engine makes the next project start further ahead.
This is not a metaphor. It's the architecture. A well-scoped project goes from "yes, let's build this" to a fully functioning deployment in 60 to 120 developer days. Not because we cut corners, but because we're not starting from zero.
And the flywheel has a second effect: improvements flow back to every client. When we harden security for one project, every project on the platform gets that improvement. When we optimize a geospatial query, every client's maps get faster. Performance, security, documentation — these aren't things you pay for separately. They arrive because you're connected to a living system, not a static codebase someone handed you and walked away from.
The economics of software development have shifted. Dramatically.
There's a principle in economics called Jevons' Paradox. When steam engines became more fuel-efficient, people didn't use less coal. They used more — because efficiency made new applications viable. Coal consumption exploded.
The same thing is happening with software. AI didn't make programmers cheap. It made software development efficient enough that problems which were never worth solving with custom software are now solvable. The addressable market for custom-built solutions just got massively bigger.
For years, the practical advice was: "Buy SaaS. It's 70% of what you need, and building custom is too expensive." That math has changed. The gap between what off-the-shelf software does and what your business actually needs is now worth closing — because the cost of closing it dropped while the value of a perfect fit stayed the same.
This is especially true in agriculture — a market underserved by SaaS precisely because the margins don't attract big platform companies. Ag operators have been stuck cobbling together tools that don't talk to each other, maintained by companies that don't understand their domain. We understand the domain. We've been in it for seven years. And we now have the system to deliver solutions that fit exactly, at a speed and cost that makes "build" the rational choice.
2016
Founded. Bootstrapped. Profitable.
7+
Years of continuous delivery in ag tech.
100+
Repositories of proven patterns.
86%
Test coverage across the platform.
60–120
Developer days to a functioning deployment.
44k+
Lines of technical documentation.