Software consulting
We work with engineering leadership to diagnose the system, name the constraints, and design a path your team can own.
ExploreEnterprise software consulting and engineering
Agentic AI and Java/Spring systems for business-critical platforms
MehvozSoft designs, builds, and operates high-concurrency backends and agentic systems with real, permissioned tool calling. We work with engineering leadership on software that has to stay correct under load — and on the controls those systems need once they leave a notebook.
What we do
A consulting and engineering practice for platforms that cannot fail quietly.
We sit with the people who own the system, map it as it is — ownership, failure modes, constraints — and build the path to what it has to become. Most engagements draw on several practices at once, because real modernization rarely fits in a single box. If we cannot run it, version it, and roll it back, we do not ship it.
Solutions
Six practices. One standard of delivery.
Consultancy, Java systems, agentic platforms, and the operational layer they need in production.
Java and Spring systems
High-concurrency, low-latency services on the JVM — Spring, Kafka, and the discipline to keep them correct when the queue is full.
ExploreAgentic AI and MCP
Agents that call tools through the Model Context Protocol — structured, permissioned, and observable, not a prompt pasted on a REST API.
ExploreLegacy wrapping
We wrap existing services so agents can use them, without proposing a rewrite of the core as the first move.
ExploreGateways, HITL, and controls
API keys, an audit log, and human approval on the actions that move money or mutate records. Toolplane is that door, locked.
ExploreCryptographic readiness
For banking and adjacent systems: a cryptographic inventory, hybrid TLS where it is justified, and a sequence that does not wait for a drop-dead date.
ExplorePractice
Software consulting
Engagements start with the system as it is. We map ownership, interfaces, failure modes, and the operational constraints that a slide deck usually skips. The output is a prioritized path — what to keep, what to wrap, what to replace — that engineering leadership can defend and a delivery team can execute.
We stay close to the work. Architecture is not a handoff document; it is a sequence of decisions made with the people who will run the result. That is the consultancy: senior engineering, written down, and accountable under one name.
Practice
Java and Spring systems
Business-critical platforms still run on the JVM for a reason. We design and build Spring services that stay correct under concurrency: bounded queues, explicit back-pressure, Kafka where events are the contract, and the tests and observability that make a release reversible.
This is not a rewrite-the-monolith pitch. We establish the seams — contracts, load tests, delivery pipelines — then change the parts that actually hurt. Latency, throughput, and correctness are measured, not asserted.
Practice
Agentic AI and MCP tool calling
An agent that cannot call a tool is a chatbot. An agent that can call any tool is a liability. We build agentic workflows that list and invoke tools through the Model Context Protocol so each call is structured, permissioned, and written to an audit trail.
Work is a graph, not a chat: a defined start, a defined end, and a place to pause. Context is routed on purpose — retrieval, tool results, and policy into the window that needs them, and kept out of the windows that do not. Prompts, tools, policies, and graphs version together so a bad release rolls back the same way a bad binary does.
Practice
Legacy wrapping
Most organizations already have the system of record. The useful move is rarely to replace it. We wrap existing services — LangChain, FastMCP, and LLM APIs as the seam — so an agent can search, explain, and propose without a rewrite of the core.
The wrap is a contract: authenticated, rate-limited, observable, and narrow. Brittle components get replaced incrementally, after tests and tracing exist. The operations your business depends on keep running while the agentic layer is introduced beside them.
Practice
Gateways, HITL, and controls
The model is the easy part. The hard part is deciding which agent runs, what it is allowed to see, which tools it may call, and how a human takes the wheel when the output is wrong. That control plane is the product.
Human-in-the-loop is a step in the graph — approval on money movement, record mutation, outbound communication — not a Slack afterthought. We put API keys and an audit log in front of the MCP door. Toolplane is the Spring Boot control plane we built for Java teams who cannot ship an unlocked endpoint.
Practice
Cryptographic readiness
Post-quantum work for banking is a migration, not a slogan. We help with a cryptographic inventory, hybrid TLS where it is justified, and a sequence that can start before a regulator names a drop-dead date.
That is readiness: knowing what you encrypt, where the keys live, and which connections will need a hybrid handshake. It is not a claim that we have replaced a bank’s entire cryptographic estate. The work is modest, concrete, and sequenced against the systems you actually run.
Industries
Where a wrong answer is not a shrug.
We take on work in these domains. We do not invent deployments we have not done.
Finance
Core and adjacent systems that need latency, an audit trail, and a cryptographic future that is more than a slide.
Healthcare
Clinical and operational software where an agent must stay inside policy, not invent a finding.
Education
Platforms that route work to people and models without treating a chatbot as a curriculum.
Government
Records, casework, and public services that have to be explainable after the fact.
NGO
Constrained budgets, high stakes, and systems that field staff can actually run.
How we work
A measured path from the current system to the next one.
Discovery, architecture, delivery, and optimization — visible, reversible, and owned by the people who will run it.
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Discovery
We assess goals, constraints, systems, and data. The output is a clear, prioritized picture of what has to change and what must not.
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Architecture
We design the seams — services, tool permissions, human gates, and delivery pipelines — with governance and operability considered from the start.
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Delivery
We build iteratively with tests, observability, and versioned releases so progress is visible and a bad change can be rolled back.
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Optimization
We harden what is in production, close the eval loop from real traces, and enable your team to own and extend the platform.
Why organizations work with us
Engineering you can operate, not a demo you cannot.
Engineering depth
Java and Spring systems that have to stay up. We write the services, the tests, and the runbooks — and we stay through the operational realities of running them.
MCP and tool controls
Tool calling is gated: keys, an audit trail, and a narrow contract. Agents list and invoke tools through a protocol, not through an unlocked HTTP endpoint.
Human-in-the-loop as a step
Approval sits on the actions that matter. HITL is part of the graph, with a recorded decision, not a message in a side channel after the fact.
No demo-only agents
If we cannot run it, version it, and roll it back, we do not ship it. Production traces feed evals. The loop closes in the same place the agent ships from.
Team
The engineer you talk to.
Md Tanvir Alam
Founder and principal engineer
I am the person on the other side of the email. I write Java and Spring for systems that have to stay up, Kafka and Kubernetes for the paths between them, and agentic AI that calls real tools instead of performing a demo. I founded MehvozSoft to be accountable for that work under one name.
FAQ
Straightforward answers.
The practice is based in Dhaka. Work is remote by default. Onsite is possible when the engagement needs it.
You work with Md Tanvir Alam, the founder and principal engineer. There is no account team in front of the work, and we do not staff a fictional bench.
Java and Spring on the JVM, Kafka, Kubernetes, and agentic systems with MCP tool calling. LangChain, FastMCP, and LLM APIs are the seam when we wrap existing services. The stack follows the system, not a vendor default.
The Model Context Protocol is how an agent lists and calls tools in a structured way. We put keys, an audit trail, and human approval in front of those calls so a sensitive action has a defined path — and a recorded decision — before it completes.
Yes. We wrap current services so agents can use them, rather than proposing a rewrite of the core as the first move. Tests, observability, and delivery pipelines come before the risky cuts.
We can help with a cryptographic inventory, hybrid TLS where it is justified, and a migration sequence. That is readiness work. It is not a claim that we have replaced a bank’s entire cryptographic estate.
Send a short note describing the system, the constraint, and what you need next. Use the form on this page, or write the company inbox. We read it.
Email mehvozsoft@gmail.com. You can also use the contact form below, or call +880 1716-416679.
Contact
Tell us what you are trying to run.
Write the company inbox. We read it. For engineering context, the portfolio and GitHub on the team block are the public record.
Ready to talk about the platform you need to run?
Partner with MehvozSoft on Java systems, agentic workflows, and the controls that keep them inside policy.