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Consulting — when the off-the-shelf product is not the answer

Custom engineering for messaging, AI and integration work.

Senior consultants and engineers for the projects where no platform fits out of the box. CRM integrations, bespoke connectors, messaging workflow automation, AI application development, legacy modernization. Clear scope, fixed outcomes, zero recurring surprises.

The problem we solve

Most enterprise messaging projects live at the edges of the product.

A CRM that needs a custom connector. An ERP that speaks a dialect only one vendor understands. A legacy SMPP gateway that must be modernized without breaking production. A new AI workflow that needs to plug into a 15-year-old order system. These are the projects that eat roadmap and break vendors. We do them for a living — with senior engineers, scoped statements of work, and code you own at the end.

  • Senior engineers only — no bench-warming, no pyramid staffing
  • Fixed-scope, fixed-outcome statements of work. You know what you get before we start
  • Code and IP transferred to you on delivery. No lock-in, no hostage situations
  • Commercial off-the-shelf where it works, custom where it genuinely must
How it works

From setup to scale, in four steps.

1

Scoping workshop

A focused session with your engineering and product leads. We define the problem, the constraints, the success criteria.

2

Statement of work

A clear document with scope, deliverables, timeline, milestones and price. No hedging, no cost-plus surprises.

3

Build

Senior engineers deliver in short iterations, with code review and weekly demos. You see progress, not slideware.

4

Handover

Code, tests, documentation and runbook transferred to your team. Optional post-delivery support by retainer.

What you get

Built for teams that care about results.

Messaging integration specialists

SMPP, REST, webhook, batch — we speak every messaging dialect and we connect them to anything you run.

AI application development

LLM-powered applications, retrieval-augmented generation, fine-tuning, evaluation harnesses. Built in production, not in slides.

Custom CRM and ERP connectors

Salesforce, HubSpot, Zendesk, SAP, Dynamics, bespoke ERPs. We write the connector that actually fits your data model.

Legacy modernization

Refactoring legacy SMPP gateways, migration off end-of-life systems, data plane rewrites with zero downtime.

Platform engineering

Message orchestration platforms, workflow engines, observability, SRE practices for critical messaging infrastructure.

Security and compliance

GDPR, PSD2, HIPAA, PCI-adjacent implementations. Threat modeling, penetration support, audit-ready documentation.

Use cases

Where this makes the biggest difference.

CRM to messaging connector

Salesforce, HubSpot, Zendesk, or custom CRM wired into your messaging stack with full event flow, DLR reconciliation and agent inbox integration.

Legacy SMPP modernization

Decommissioning monolithic SMPP gateways, replacing with a REST + queue architecture, zero-downtime migration, smaller operational footprint.

AI workflow on top of existing systems

Integrating LLM-powered workflows (summarization, classification, routing, agent copilots) into your existing CRM, ticketing or messaging stack.

Custom reporting and analytics

Bespoke data pipelines, warehouse modeling and BI dashboards for messaging operations, regulatory reporting or executive insight.

Technical integration

Senior engineering, modern stack, your choice of deployment.

We work in your environment or ours, with your stack or ours. Typical toolchain: Node.js, Python, Go, Java, PostgreSQL, Redis, Kafka, Kubernetes, Terraform. For AI: Anthropic Claude, OpenAI, open-weight models, vector databases. Deployments on AWS, GCP, Azure or on-prem — we meet you where you are.

  • Languages: Node.js, TypeScript, Python, Go, Java, C#, PHP, Ruby
  • Data platforms: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Snowflake, BigQuery
  • Messaging & streaming: Kafka, RabbitMQ, AWS SQS/SNS, Google Pub/Sub
  • Infrastructure: AWS, Google Cloud, Azure, on-prem, Kubernetes, Terraform, Pulumi
  • AI & ML: Anthropic, OpenAI, open-weight LLMs, vector databases (Pinecone, Weaviate, pgvector)
  • Quality: code review, test coverage, CI/CD, observability, runbook documentation
Industry fit

Verticals that rely on this solution.

Banking & Finance Retail & E-commerce Healthcare Telecommunications Marketing Agencies
FAQ

Frequently asked questions

How do you staff engagements?
Only with senior engineers and architects. No offshore bench, no body-shopping. Every name on the SOW is a person you can interview before signing.
Do you do fixed-price or time-and-materials?
Both, depending on risk. For well-scoped work we prefer fixed-price SOWs with milestones. For exploratory or research engagements we run time-and-materials with a weekly cap. We always tell you which model fits and why.
Who owns the code you write?
You do. By default, all code, tests, documentation and IP produced during the engagement is transferred to you on delivery. No lock-in, no seat licenses, no hostage clauses.
Do you offer post-delivery support?
Yes, optionally. We offer retainer arrangements for bug fixes, minor enhancements and SRE support. These are separate from the build SOW, clearly scoped, and can be cancelled with reasonable notice.
Can you work inside our environment and tooling?
Yes. We onboard to your Git, your issue tracker, your CI/CD, your communication channels. Our engineers adapt to your stack and your standards, not the other way round.
What sectors do you have the most experience with?
Banking and financial services, telecommunications, retail and e-commerce, healthcare, and public sector — with a specific focus on messaging-heavy workloads, AI integration, and regulatory-sensitive environments.

Let's talk about it consulting & development.

Share your volumes, your region, your integration constraints. We reply within one business day with a concrete plan.

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