Foresight · Research & PoC
Technology Research
Vendor evaluations, architecture options, AI bake-offs, and PoCs before you scale the wrong stack.
Core delivery model
How Bits Bridge delivers
Wrong platform or AI vendor choices waste quarters. Bits Bridge research ends in scored decision memos and coded PoCs — evidence leadership can fund.
Research programs delivered, methodology depth, and discovery sprint engagement.
We are willing to recommend buy or partner when build is not the honest answer — credibility matters more than upselling implementation.
Engagements can start with paid discovery or a fixed-scope MVP — whichever fits your procurement process. We align with existing vendors and internal squads when RACI boundaries are clear.
What we have delivered
We deliver technology research that ends in decisions — vendor bake-offs, headless commerce evaluations, AI latency benchmarks, cloud TCO models, and coded PoCs your leadership can fund with confidence.
Research engagements frequently follow a failed vendor selection or a board question on AI spend — we reset with evidence, not hype.
- Headless vs monolith commerce studies with staged migration cost models
- AI vendor comparisons: latency, cost per 1k tokens, retrieval accuracy on your corpus
- Cloud TCO scenarios: AWS vs on-prem vs hybrid with 3-year projections
- Payment gateway routing analysis for new markets and currency mix
- Mobile stack decisions: React Native vs Flutter vs PWA for field apps
- Security architecture reviews for fintech and insurance greenfield programs
Technical capabilities
Research without executable spikes becomes shelfware. We time-box PoCs, document trade-offs in scored decision memos, and hand engineering-ready artifacts — not 80-slide decks alone.
PoC code lives in client-owned repos with README runbooks — not proprietary black boxes that expire when our contract ends.
- Weighted scorecards: build/buy/partner options with risk, cost, time, and operability
- Coded spikes in 1–3 weeks proving integration feasibility and performance
- Load and latency benchmarks on representative data volumes
- Architecture diagrams, sequence flows, and OpenAPI sketches for chosen path
- Stakeholder workshops: engineering, ops, finance, and compliance aligned
- Optional transition into fixed-scope MVP build with the same team
What we can build for you
Book a 2–3 week paid discovery when you need an honest recommendation before committing build budget — especially platform selection and AI vendor choice.
Implementation quotes reference research artifacts directly — reducing re-discovery cost and timeline slippage on MVP kickoff.
- Kickoff: decision deadline, constraints, non-negotiables, and success criteria
- Parallel spike tracks when comparing two or three options
- Decision memo with recommendation, phased roadmap, and budget ranges
- Executive readout and engineering deep-dive sessions
- Optional handoff to implementation squad with shared context
- Learn more about custom development and AWS cloud services
Stack
Technology stack
Research uses benchmark harnesses, spike repos, TCO spreadsheets, architecture diagrams, and OpenAPI sketches — artifacts engineering can extend.
Secrets live in AWS Secrets Manager — never in repos. Testing includes contract tests on partner APIs and load tests before predictable peak events.
Outcomes
Delivery highlights
Clients proceed to MVP with shared context — reducing re-discovery and scope arguments at kickoff.
KPIs are agreed at discovery and reviewed at 30/60/90 days post-launch — conversion, deflection, deploy frequency, or decision clarity for research engagements.
Decision clarity
Scored options memo — Leadership receives build/buy/partner recommendation with explicit trade-offs — not vendor marketing PDFs.
Feasibility proof
Working spikes — Integration risks validated in code before multi-quarter programs start.
AI selection
Latency & cost benchmarks — Models tested on your FAQ corpus with containment and accuracy metrics.
Migration confidence
Phased roadmap — Commerce and cloud migrations sequenced to protect revenue during cutover.
Depth
Technical capabilities
Commerce platform studies, AI bake-offs, cloud TCO, payment routing, mobile stack, and security architecture reviews.
Handover includes documentation your team can operate: runbooks, API references, and recorded training — not a final-week knowledge dump.
Research types
- Platform selection
- AI vendor bake-off
- Cloud TCO
- Payment routing
- Mobile stack choice
Deliverables
- Decision memos
- Architecture diagrams
- PoC code repos
- Benchmark reports
- Implementation roadmap
Follow-on
- MVP build engagement
- Migration program
- Retained advisory
- Vendor RFP support
- Technical due diligence
Next steps
What we can do for you
Engagement models
Share the decision on your desk, deadline, and stakeholders. We propose a time-boxed research sprint with concrete deliverables and optional build transition.
- Discovery sprint (2–3 weeks)
- Comparative PoC program (4–6 weeks)
- Advisory retainer for ongoing architecture
How we deliver
Weekly demos, written decision logs, and KPI reviews at 30/60/90 days — delivery craft since 2013.
- Discovery workshop — stack inventory, KPIs, compliance constraints
- Architecture & integration contracts — OpenAPI, webhook catalog, RACI
- Iterative build with weekly demos on staging
- Load tests, security review, and rollback runbooks
- Hypercare launch + optional retainer for upgrades
Share your stack, timeline, and the KPI you need to move.
Contact form →Questions
Frequently asked questions
Is research separate from implementation?
Yes — paid discovery stands alone with decision memo deliverables. Many clients transition to build with the same team once the path is clear.
Do you only produce documents?
No. We deliver coded PoCs, benchmark harnesses, and integration spikes — documents summarize evidence from working artifacts.
Can you help evaluate AI vendors for our FAQ bot?
Yes. We run retrieval accuracy, latency, cost, and safety tests on your approved corpus with red-team prompts included.
How do you compare Magento vs Shopify objectively?
Weighted criteria: configurability, TCO, hiring pool, integration fit, peak ops burden — scored with your merchandising and engineering input.
Do you support investor or board technical due diligence?
Yes. Architecture reviews, security posture summaries, and scalability assessments for fundraising or M&A — under NDA.
What does a 2-week discovery cost?
Fixed fee quoted after scope call — typically smaller than a month of wrong-platform build. We outline deliverables and optional build phases separately.
Can research include our internal team?
Recommended. Workshops and paired spike sessions transfer context so internal engineers can maintain chosen stack.
How do we start?
Email hello@bitsbridge.in with the decision, deadline, and current stack. We respond with discovery scope and fee range.