Services
Technology services built around your business.
SynapseSoft provides flexible software engineering and technical consulting. Engage us for a full product build, a specific technical problem, or additional capacity alongside your existing team.
01
AI Training & Evaluation
RLHF, model evaluation, red-teaming, and expert-generated training data — produced by specialists qualified in the domain being evaluated, against rubrics designed for your task.
Typical challenges
- Benchmarks look fine but users still hit the same failure mode
- Annotators disagree and nobody can say which of them is right
- General-purpose labeling misses errors only a specialist would catch
What we provide
- Rubric design, calibration sets, and annotator screening
- Preference data, rankings, and written rationales for reward modeling
- Adversarial testing and structured evaluation against your criteria
- Agreement metrics and audit results delivered with the data
Technologies we commonly use
- Python
- OpenAI
- Claude
- Gemini
- PyTorch
- AWS
02
Software Development
End-to-end development of web, mobile, and internal applications — from the first architecture decisions through to a system your team can keep changing safely.
Typical challenges
- Releases slow down as the codebase grows
- Features are hard to change without breaking something else
- The original build was outsourced and is now undocumented
What we provide
- Product and technical discovery before any code is written
- Application development in short, reviewable increments
- Code review, documentation, and handover your team can work from
- Performance, accessibility, and security work as part of delivery
Technologies we commonly use
- React
- Next.js
- TypeScript
- Node.js
- Python
- .NET
- PostgreSQL
03
SaaS Development
Multi-tenant products built with the parts that are easy to postpone and expensive to retrofit: tenancy, roles, billing, onboarding, and operational tooling.
Typical challenges
- A prototype needs to become a product real customers can pay for
- Tenant isolation and permissions were not designed in from the start
- Support and billing questions consume engineering time
What we provide
- Multi-tenant architecture and data model design
- Authentication, roles, permissions, and audit trails
- Subscription billing, plans, usage limits, and trials
- Admin tooling so support does not require a developer
Technologies we commonly use
- Next.js
- Node.js
- PostgreSQL
- Redis
- AWS
- Docker
04
AI Solutions
Practical AI features inside real products — built with evaluation and guardrails, so you can tell whether they actually work before your customers do.
Typical challenges
- It is unclear which AI use cases justify the cost
- A demo works, but quality is inconsistent in production
- There is no way to measure whether the output is good
What we provide
- Use-case assessment with an honest view of what AI will not solve
- LLM features: retrieval, structured extraction, assistants, classification
- Evaluation sets, quality monitoring, and guardrails
- Cost, latency, and model-selection trade-off analysis
Technologies we commonly use
- OpenAI
- Claude
- Gemini
- LangChain
- Python
- PyTorch
- TensorFlow
05
Business Automation
Connecting the systems and manual steps your business already runs on, so work moves between them without someone copying data by hand.
Typical challenges
- Critical processes live in spreadsheets and email threads
- The same data is re-entered into several systems
- Nobody can say where a request currently is
What we provide
- Process mapping and a realistic automation plan
- Integrations between CRM, finance, support, and internal tools
- Scheduled jobs, queues, and event-driven workflows
- Internal dashboards and status visibility
Technologies we commonly use
- Node.js
- Python
- PostgreSQL
- Redis
- Azure
- AWS
06
Technical Consulting
Architecture, technology strategy, and engineering guidance — for the decisions that are cheap to make early and costly to reverse later.
Typical challenges
- A major technical decision is blocking the roadmap
- The team disagrees on the direction and needs an outside read
- You need a technical opinion before committing budget
What we provide
- Architecture and codebase review with written findings
- Technology selection and build-versus-buy analysis
- Scalability, cost, and risk assessment
- Roadmap and delivery planning with your engineering leads
Technologies we commonly use
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- PostgreSQL
07
Cloud & DevOps
Environments, pipelines, and observability that make deployment routine — plus the cost controls that keep infrastructure spend explainable.
Typical challenges
- Deployments are manual, risky, and only one person can do them
- Cloud costs are rising without a clear reason
- Outages are found by customers rather than by monitoring
What we provide
- CI/CD pipelines and repeatable environment setup
- Infrastructure as code and reproducible provisioning
- Monitoring, logging, alerting, and on-call runbooks
- Cost review and right-sizing
Technologies we commonly use
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- Terraform
- CI/CD
08
Engineering Support
Experienced engineers added to your existing team, working in your process and tooling, sized to what the roadmap actually needs.
Typical challenges
- Hiring is taking longer than the roadmap allows
- The backlog is clear but there is no capacity to work it
- Maintenance is crowding out new development
What we provide
- Engineers embedded in your workflow, standups, and code review
- Flexible capacity that scales with project requirements
- Maintenance, dependency upgrades, and bug work
- Knowledge transfer and documentation as standard
Technologies we commonly use
- React
- Vue
- Angular
- Node.js
- Python
- PHP
- Laravel
- .NET
09
QA & Testing
Automated coverage and release checks that turn deployments from an event into a routine, and catch regressions before your users report them.
Typical challenges
- Every release needs a manual regression pass
- Test coverage exists but nobody trusts the suite
- Bugs reappear after they were supposedly fixed
What we provide
- Unit, integration, and end-to-end test suites
- Test automation wired into CI with meaningful failure signals
- Regression, performance, and accessibility testing
- Release checklists and quality gates
Technologies we commonly use
- TypeScript
- Python
- CI/CD
- Docker
- PostgreSQL
- AWS
Everything else
The full list of what we can take on.
If what you need is not listed here, ask anyway — we will tell you honestly whether it is a fit.
RLHF & Preference Data
Response comparisons, rankings, and rationales produced against a calibrated rubric.
Model Evaluation
Structured scoring on criteria you define, delivered with agreement metrics and disagreement cases.
Red-Teaming
Adversarial prompting to surface jailbreaks, harmful completions, and brittle reasoning.
Expert Data Generation
Prompts, reference answers, and worked solutions written by people qualified in the field.
SaaS Development
Multi-tenant products with billing, roles, onboarding, and the operational tooling behind them.
Web Applications
Responsive, accessible applications built on modern frameworks and a maintainable component layer.
Mobile Applications
Cross-platform and native mobile apps that share a backend with your existing product.
AI Integration
LLM features, retrieval, evaluation, and guardrails wired into real product workflows.
Business Automation
Internal processes connected end to end so manual handoffs stop consuming your team's time.
API Development
Versioned, documented APIs and integrations between the systems your business already runs.
Cloud Infrastructure
Environments, networking, cost control, and observability across AWS, Azure, and Google Cloud.
System Modernization
Incremental replacement of legacy components without pausing delivery on the current product.
Technical Architecture
Data models, service boundaries, and scaling decisions documented before they become expensive.
Testing & QA
Automated coverage, regression suites, and release checks that make deployments predictable.
DevOps & Deployment
CI/CD pipelines, infrastructure as code, and repeatable deployments across environments.
Ongoing Engineering Support
Maintenance, monitoring, dependency upgrades, and steady improvement after launch.
Next step
Not sure which service you need?
Describe the problem in your own words. We will tell you what it would take to solve it, and whether we are the right team for it.