Custom software & product engineering

Elite engineers.
Lower hiring cost.

Build with a dedicated remote team of top-tier Bangladeshi engineers trusted to deliver speed, quality, and reliability across web, AI, and IoT products.

Senior-only teamTimezone overlapQuality-first delivery

Senior execution, transparent process, enterprise-grade quality

SaaSFintechHealthtechE-commerceAI & IoT productsSaaSFintechHealthtechE-commerceAI & IoT products

AI-Driven
Development
Excellence

We combine senior engineering with practical AI workflows to ship faster, test deeper, and scale products without compromising reliability.

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AI-assisted product engineering team in a modern delivery setup
70%Faster Development

Intelligent Coding

AI-powered workflows reduce manual effort while maintaining enterprise-level code quality.

99.9%Defect-Free Releases

Bulletproof QA

Automation-assisted QA catches regressions early and keeps releases stable and predictable.

40%Higher Efficiency

Peak Performance

Smart optimization improves response time and system throughput under production load.

90%Faster Deployments

Zero-Downtime DevOps

AI-guided pipelines enable safer releases with lower operational risk.

10X Faster Delivery

Senior teams leveraging AI-assisted engineering to accelerate output while keeping quality high.

100% IP Protection
Top 1% Talent

Selected visuals from shipped work and how we operate—scroll to featured case cards for full context on our seven featured launches.

Swipe sideways — shorter cards, less scrolling

WarmChats landing page: AI that books appointments from leads, with manual follow-up vs automation comparison
WarmChats — AI booking
Hospitality staff admin: kitchen, POS, orders, procurement
Hospitality ops — mobile
OPAL Fashion × Tech storefront hero and navigation
OPAL — commerce
Immidox immigration services marketing site hero
Immidox — services web
Expert search, profiles, booking, and trust metrics on mobile
Expert marketplace
GodConnect onboarding and community app screens
GodConnect — community
REBELLION agency hero and interactive brand showcase
REBELLION — agency web
Bolt Fusion Tech — product engineering partnership
How we work with your team
Engineers shipping product with clear UI on monitors
Delivery & architecture
Sprint planning and stakeholder alignment
Discovery to launch
Client trust and advisory conversations
Stakeholder partnership
Engineering workspace with code and systems design
Build quality
Product analytics across mobile and web surfaces
Insights & scale

Why Bolt Fusion Tech

Clients come to us when delivery has to be predictable: clear requirements, honest estimates, and engineering judgment applied early—so you spend less time firefighting and more time growing the product. We work as an extension of your team, focused on outcomes users feel and metrics you can read.

Web & mobile appsAPIs & integrationsCloud & DevOpsProduct discoveryUI/UX engineeringQuality & launch readiness
MVP & greenfield buildsScope, architecture, and a shippable first versionTypical 8–16 weeks
Embedded product teamsRoadmap delivery with your PMs and stakeholdersOngoing
Stabilize & scalePerformance, reliability, and maintainability for live systemsAs needed
Product engineers collaborating on delivery, roadmap, and shipping reliable software
Your bench// who builds with you

Senior engineers.One delivery standard.

Each card opens in a new tab—so you can see who you would work with before you commit scope or budget.

0specialists

Featured client work

Seven shipped experiences—AI lead automation, operations, commerce, regulated services, marketplaces, community, and agency brands—each tuned to real users and conversion.

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Case study · Systems architecture

Intelligent restaurant search

Conversational discovery with explicit routing, predictable AI unit economics, and latency targets suitable for high-volume production traffic.

Multi-tenant microservice · Tiered search · Observable by design

Executive summary

We delivered a multi-tenant restaurant discovery microservice that resolves natural-language queries (for example, “cozy Italian place for date night”) while keeping the majority of requests on a sub-100ms path. The architecture caps model spend at roughly $0.001 per AI-assisted query on average, combines Redis caching with deterministic lane selection, and ships with the metrics, logging, and guardrails operators expect in production.

Case study visual for AI-assisted restaurant search and discovery product
Case study visual for AI-assisted restaurant search and discovery product
System overviewProduction posture

Service commitments

Latency, cost, isolation, and operations

<100msSearch SLA

~80% of queries hit the fast lane

~$0.001Avg. cost / AI search

Budgeted hybrid retrieval

Multi-tenantPostgres RLS

Isolated rows per tenant

ObservableProduction-ready

Metrics, logs, safe limits

Three-lane search architecture

Each query is classified before any paid inference: deterministic paths carry the bulk of volume; models run only when phrasing requires interpretation; a short-TTL cache reduces repeat load on the database and providers.

1~80% of traffic · <80ms target

Keyword search

Simple intents, zero AI spend.

  • Queries like “Italian”, “sushi”, “pizza”.
  • PostgreSQL ILIKE plus PostGIS geo filters.
  • Predictable path—no model calls.

$0 marginal cost per query

2~20% of traffic · <1200ms target

Natural language AI search

Complex intent → structured retrieval.

  • Examples: “romantic spot with live music near me”.
  • Claude Haiku parses intent to structured JSON.
  • OpenAI embeddings + pgvector cosine similarity in Postgres.

~$0.001 per search (budgeted)

3Hot paths · <15ms target

Result cache

Repeat demand disappears at the edge.

  • Redis with 30s TTL on hashed keys.
  • Key = tenant + query + geo + filters + classification.
  • Hit-rate goal 30–40% to protect DB and models.

Technical stack

Implementation stack

Backend

  • NestJS 10
  • TypeScript (strict)
  • DDD + Hexagonal + CQRS

Data

  • PostgreSQL 17
  • PostGIS
  • pgvector
  • Row-level security (tenancy)

Cache & realtime

  • Redis 7 — result cache (30s)
  • Semantic intent cache (60s)
  • LLM rate limits (100/min/tenant)
  • Pulse: WebSocket + Redis pub/sub

AI services

  • Claude Haiku 4.5 — intent parsing (~90% of AI calls)
  • Claude Sonnet 4.6 — menu Q&A only
  • OpenAI text-embedding-3-small (1536-d)

Bounded contexts

Partitioning for maintainable evolution

Five bounded contexts share a small kernel so search behavior can evolve without coupling unrelated concerns or destabilizing shared infrastructure.

Primary bounded context

Discovery

The search core

  • Query classifier picks the lane.
  • Intent parser (Claude) for NL queries.
  • Search index in Postgres + hybrid ranker.

Engineering patterns

  • Domain-Driven Design
  • Hexagonal architecture
  • CQRS
  • Event-driven architecture

Tenancy

Configuration per brand

  • Valid vibes, cuisines, ranker weights, embedding templates.
  • In-memory registry with Redis warmup.

Indexing

Fresh vectors & listings

  • Venue CRUD on the search index.
  • Embedding saga on EntityIndexedEvent.

GoldenKeys

Smart filter chips

  • Auto-generated chips like “Rooftop”, “Live music”.
  • Cron every 6h from search analytics.

Pulse

Live venue status

  • Open/busy/wait signals.
  • Gateway on /pulse with WebSocket fan-out.

Shared kernel

  • TenantId & Geo value objects
  • Result<T, E> for explicit failures
  • Prisma + Redis services
  • TenantContext via AsyncLocalStorage
  • Pino logging
  • Claude & OpenAI adapters
Product and engineering collaboration during discovery and sprint planning
How we work

Process

A straightforward process designed for busy product leaders: fewer surprises, clearer tradeoffs, and decisions you can explain to your board or budget owner.

Discovery & plan

We align on users, success metrics, constraints, and risks—then produce a concise technical approach and milestone plan so stakeholders know what “done” looks like and when to expect it.

1

Build in iterations

Working software every cycle: demos, backlog transparency, and early integration (auth, data, deployments) so issues surface when they are cheap to fix—not the week before launch.

2

Launch, measure, improve

Release with monitoring, runbooks, and a sensible cutover. After go-live we support stabilization, iterate on feedback, and help your team operate the product with confidence.

3
What we deliver

Services

Practical engineering aligned to your roadmap: you get transparent communication, measurable milestones, and software ready for real users—not a black box.

TypeScript & ReactNext.js & NodeMobile (iOS / Android)AWS & cloud-nativeAPI designAutomated testing
Engineering team building software products with clear UI and architecture on screen

Custom product development

End-to-end web and mobile builds: discovery workshops, technical design, implementation, and handoff documentation—so your team owns the system with confidence after launch.

Platforms & integrations

Connect products to payments, CRMs, data pipelines, and internal tools with APIs and event-driven workflows that are observable, secure, and easy to extend.

Reliability & scale

Hardening for real traffic: performance tuning, monitoring and alerts, CI/CD, and operational runbooks—reducing downtime and making releases boring in the best way.

UX & frontend craft

Interfaces that match your brand and usability goals: accessible components, responsive layouts, and design-system thinking so new features stay consistent.

Technical discoverySprint deliveryCode reviewSecurity-minded defaultsDocumentationPost-launch supportTechnical discoverySprint deliveryCode reviewSecurity-minded defaultsDocumentationPost-launch supportTechnical discoverySprint deliveryCode reviewSecurity-minded defaultsDocumentationPost-launch supportTechnical discoverySprint deliveryCode reviewSecurity-minded defaultsDocumentationPost-launch support

Industry Focus

Industries We Power
with Innovation

We build focused digital products for teams that need reliable outcomes, measurable velocity, and software that scales after launch.

EdTech

LMS products, live class platforms, and assessment workflows built for scale and compliance.

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Fintech

Secure payment, lending, and risk systems with auditability and operational resilience.

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E-Commerce

Fast storefronts, theme customization, checkout integrations, and CRO-focused UX.

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Pharma

Regulatory-aligned healthcare software, portals, analytics, and clinical operations tools.

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Telecom

Enterprise-grade telecom dashboards and APIs engineered for high reliability.

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Retail

Omnichannel retail systems that connect inventory, customer journeys, and fulfillment.

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Software/ITES

Custom business software and IT-enabled solutions for long-term product growth.

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Start-Ups

Lean MVPs, scale-ready architecture, and product iterations designed for speed.

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Is your industry here?

If not, we can still help you design and ship quickly with the same senior delivery standard.

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Client outcomes

Testimonials

Feedback from leaders who needed delivery they could defend—to users, investors, and their own engineering teams.

Client stakeholders in a trusted advisory conversation

They turned a vague brief into a shipped MVP with sane tradeoffs explained along the way. Our team finally had a release cadence we could plan around.

S

Sarah K.

CEO, B2B SaaS

Strong engineering judgment on integrations and compliance-sensitive flows. We cut rework because they asked the right questions early.

D

David Chen

Head of Product, Fintech

Clear documentation and handoff after launch. Internal developers picked up the codebase without a weeks-long archaeology project.

E

Emily Torres

CTO, Healthtech

FAQ

Questions? Answers.

Taking new engagements

Tell us what you need to ship

Share goals, timeline, and constraints—we'll reply with honest fit, a suggested approach, and next steps. No pressure, no jargon wall.

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