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TrinolIT
TrinolIT

Six capabilities

What we build,and what it takes.

Each one lists the problem it solves, what we actually build, the stack, and the project that proves it. The timelines are estimates from scope, and we replace them with a real one after the first conversation.

Product and platform engineering

The problem

You need a system, not a feature: something transactional, multi-user, deployed, and still correct in a year when someone else is maintaining it.

What we build

A backend where the consistency boundary is a database transaction rather than a hope, a typed interface on top, migrations that reverse, and the deployment and release pipeline underneath. In your repository from the first commit.

Estimated timeline
8 to 20 weeks, scoped to something running early
Stack
FastAPIPostgreSQLNext.jsTypeScriptDocker
Evidence
A full back office — till, stock, purchasing, invoicing and accounts — running as one product, in Nexora AI.

AI systems that stay inside their limits

The problem

You want an assistant over your own data, and you cannot have it inventing figures or reading records the user is not allowed to see.

What we build

Retrieval scoped to the caller's permissions, a whitelist of tools the model selects from rather than composes, and a grounding check that every number it states appeared in a real result. The model never writes a query.

Estimated timeline
6 to 14 weeks, alongside the system it sits on
Stack
QdrantTool whitelistingGrounding checksPython
Evidence
An assistant that answers from a business's own records and cannot state a figure that is not in them, in Nexora AI.

Data integrity and correctness

The problem

The numbers stop agreeing. Somewhere between two systems, or two concurrent requests, a value goes missing and nobody finds out until an audit.

What we build

Money as decimals end to end and as strings across the API. Ledgers as the source of truth with balances as a cache. Row locking where concurrency actually bites. Immutable posted entries enforced by database triggers.

Estimated timeline
Part of the build, not a separate engagement
Stack
PostgreSQLSQLAlchemyAlembicDecimal arithmetic
Evidence
A checkout that writes the sale, the stock, the cash, the tax and the ledger together or not at all, in Nexora AI.

Security and tenancy

The problem

Your data sits next to someone else's, and isolation is a property of your code rather than of your infrastructure.

What we build

Isolation in independent layers, defended by a test suite whose job is to breach it. Tamper-evident audit chains, field-level encryption, and refusals that do not confirm what they are refusing.

Estimated timeline
4 to 10 weeks, or continuous alongside a build
Stack
Row-level securityMFAField encryptionAudit chaining
Evidence
Each business's data separated by three independent mechanisms, tested by a suite built to break them, in Nexora AI.

Machine learning and computer vision

The problem

You need forecasting, detection or classification on your own data, and an off-the-shelf model does not know your categories.

What we build

Pipelines built against a named benchmark with per-class results, so the classes that fail are named rather than averaged into a headline. Deployment and monitoring included.

Estimated timeline
8 to 16 weeks, depending on annotation
Stack
PythonForecastingAnomaly detectionPyTorch
Evidence
Stock-out warnings and demand trends surfaced before they become a problem, in Nexora AI.

Bilingual and Bangla-first systems

The problem

Your documents, tickets or transcripts are in Bangla, or in Bangla and English mixed together, and the tooling you have tried was validated on English.

What we build

Tokenisation and normalisation that treats each language on its own terms, code-switched input handled directly rather than routed by language detection, and OCR tuned for Bangla conjuncts and vowel signs.

Estimated timeline
6 to 12 weeks, depending on how much of the corpus is scanned
Stack
Bangla OCRCustom tokenisationMultilingual embeddings
Evidence
A bilingual interface end to end — English and Bangla on the same screen, not behind a locale switch, in Nexora AI.

Start here

You havesomething thathas to be right.

Tell us what it has to get right and what it is allowed to get wrong. If it is not something we should take on, we will say so and point you somewhere better.

Reply time
We reply within one working day.
Or write directly
zasif855@gmail.com
Where
Dhaka, Bangladesh