Softment
AISearch, recommendations, retrieval, similarity matching

Technology

Embeddings

Embeddings implementation for production software delivery with clean architecture, maintainability, and predictable rollout. Built for United States teams with Americas overlap (EST/PST-friendly).

Best For

Ideal use cases

Products requiring semantic document retrieval

Teams building recommendation or similarity systems

AI workflows needing contextual relevance ranking

What We Build

Projects we deliver

Embedding pipelines for documents and entities

Similarity search and ranking workflows

Vector-store integration with retrieval optimization

Ecosystem

Compatible tools & integrations

Seamless Integrations

Works with your existing stack

4+ supported
Embedding model selection
Chunking and indexing strategy
Vector database search tuning
Re-ranking and filtering layers

Use Cases

Recommended use cases

RAG assistants and knowledge search

Semantic product/content recommendations

Duplicate detection and clustering

Delivery

How we deliver

Embedding quality depends on chunking and domain-specific indexing strategy.

Retrieval accuracy is validated with sample user queries.

Pipelines are built for re-indexing and model evolution over time.

FAQ

Frequently asked questions

Embeddings encode semantic meaning so systems can retrieve and rank relevant information beyond keyword matching.

Usually yes for scale. Small datasets can work without one, but vector stores are recommended for production retrieval.

We tune chunking, metadata filters, reranking, and evaluation against real query sets.

Regional

Delivery considerations for your region

Compliance & Data (US)

For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.

We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.

  • SOC 2 / ISO-friendly implementation patterns (no certification claims)
  • Least-privilege access and permission boundaries
  • Security review checklists for auth, payments, and data flows
  • PII-safe logging + incident response playbooks (on request)
  • Retention and deletion flows where required
  • NDA + vendor onboarding docs on request

Timezone & Collaboration (Americas)

We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.

We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.

  • Americas overlap with EST/PST-friendly windows
  • Async-first updates with written decisions
  • Weekly milestone demos + change control
  • Fast turnaround on blockers and clarifications
  • Clear owner per workstream and escalation path

Engagement & Procurement (US)

US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.

If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.

  • USD invoicing and milestone-based payment schedules
  • SOW + scope lock options for fixed-scope work
  • Time-and-materials for evolving requirements
  • Procurement-ready documentation on request
  • Optional paid discovery to de-risk delivery

Security & Quality (US)

We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.

Expect clean PRs, reviewable changes, and production-ready testing from day one.

  • Threat-aware checks for auth, roles, and sensitive data flows
  • CI-friendly testing: unit + integration + critical path smoke tests
  • Performance budgets (Core Web Vitals-minded) and bundle checks
  • Structured logging + error tracking hooks (Sentry-ready)
  • Rollback-safe releases and clear release notes
Ready to start?

Want to scope this properly?

Share your requirements for United States delivery. USD-based engagements.

Reply within 2 hours. No-pressure consultation.